Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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Mask R-CNN

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Rayyan-a web and mobile app for systematic reviews.

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Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement

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Estimating the global incidence of traumatic brain injury

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Standards for Educational and Psychological Testing

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Association Between Funding and Quality of Published Medical Education Research

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Appraising the Quality of Medical Education Research Methods: The Medical Education Research Study Quality Instrument and the Newcastle–Ottawa Scale-Education

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Global neurosurgery: the current capacity and deficit in the provision of essential neurosurgical care. Executive Summary of the Global Neurosurgery Initiative at the Program in Global Surgery and Social Change

Dewan, M. C., Rattani, A., Fieggen, G. A. G., Arráez, M. Á. E., Servadei, F., Boop, F. A., Johnson, W. D., Warf, B. C., & Park, K. B. (2018) · Journal of neurosurgery · doi:10.3171/2017.11.jns171500 · Cited by 649 · see citing works

Review of methods for objective surgical skill evaluation

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The role of three-dimensional printed models of skull in anatomy education: a randomized controlled trail

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Using 3D Printing to Create Personalized Brain Models for Neurosurgical Training and Preoperative Planning

Ploch, C. C., Mansi, C. S. S. A., Jayamohan, J., & Ellen Kuhl, A. (2016) · World Neurosurgery · doi:10.1016/j.wneu.2016.02.081 · Cited by 196 · see citing works

Effect of an Immersive Preoperative Virtual Reality Experience on Patient Reported Outcomes: A Randomized Controlled Trial

Bekelis, K., Calnan, D., Simmons, N., MacKenzie, T. A., & Kakoulides, G. (2017) · Annals of Surgery · doi:10.1097/sla.0000000000002094 · Cited by 192 · see citing works

Virtual Reality Cerebral Aneurysm Clipping Simulation With Real-Time Haptic Feedback

Alaraj, A. M., Luciano, C., Bailey, D. P., Elsenousi, A., Roitberg, B. Z., Bernardo, A., Banerjee, P. P., & Charbel, F. T. (2015) · Operative Neurosurgery · doi:10.1227/neu.0000000000000583 · Cited by 185 · see citing works

An introduction and overview of machine learning in neurosurgical care

Senders, J. T., Zaki, M. M., Karhade, A. V., Chang, B., Gormley, W. B., Broekman, M. L., Smith, T. R., & Arnaout, O. (2018) · Acta Neurochirurgica · doi:10.1007/s00701-017-3385-8 · Cited by 178 · see citing works

The use of simulation in neurosurgical education and training

Kirkman, M. A., Ahmed, M., Albert, A. F., Wilson, M. H., Nandi, D., & Sevdalis, N. (2014) · Journal of neurosurgery · doi:10.3171/2014.5.jns131766 · Cited by 174 · see citing works

Sparse Hidden Markov Models for Surgical Gesture Classification and Skill Evaluation

Tao, L., Elhamifar, E., Khudanpur, S. P., Hager, G. D., & Vidal, R. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30618-1_17 · Cited by 159 · see citing works

The Pipeline Embolization Device

Jabbour, P. M., Chalouhi, N., Tjoumakaris, S. I., Gonzalez, L. F., Dumont, A. S., Randazzo, C. G., Starke, R. M., Hasan, D. M., Chitale, R. V., Singhal, S., et al. (2013) · Neurosurgery · doi:10.1227/01.neu.0000429844.06955.39 · Cited by 147 · see citing works

Three-dimensional printing models improve understanding of spinal fracture—A randomized controlled study in China

Li, Z., Li, Z., Rui-yu, X., Li, M., Li, J., Liu, Y., Sui, D., Zhang, W., & Chen, Z. (2015) · Scientific Reports · doi:10.1038/srep11570 · Cited by 138 · see citing works

Neurosurgery Simulation in Residency Training

Gasco, J., Holbrook, T. J., Patel, A. P., Smith, A., Paulson, D., Muns, A., Desai, S. K., Moisi, M. D., KUO, Y.-F., Macdonald, B., et al. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000102 · Cited by 133 · see citing works

Fundamentals of Neurosurgery: Virtual Reality Tasks for Training and Evaluation of Technical Skills

Choudhury, N., Gélinas-Phaneuf, N., Delorme, S., & Maestro, R. F. D. (2012) · World Neurosurgery · doi:10.1016/j.wneu.2012.08.022 · Cited by 133 · see citing works

Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting

Ryan, J. R., Almefty, K. K., Nakaji, P., & Frakes, D. H. (2016) · World Neurosurgery · doi:10.1016/j.wneu.2015.12.102 · Cited by 131 · see citing works

Autonomic responses during motion sickness induced by virtual reality

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Virtual reality spine surgery simulation: an empirical study of its usefulness

Gasco, J., Patel, A. P., Ortega-Barnett, J. R., Branch, D. W., Desai, S. K., KUO, Y.-F., Luciano, C., Rizzi, S., Kania, P., Matuyauskas, M., et al. (2014) · Neurological Research · doi:10.1179/1743132814y.0000000388 · Cited by 124 · see citing works

Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback

Luciano, C., Banerjee, P. P., Bellotte, J. B., Oh, G. M., Lemole, M., Charbel, F. T., & Roitberg, B. Z. (2011) · Operative Neurosurgery · doi:10.1227/neu.0b013e31821954ed · Cited by 119 · see citing works

Practice on an Augmented Reality/Haptic Simulator and Library of Virtual Brains Improves Residents’ Ability to Perform a Ventriculostomy

Yudkowsky, R., Luciano, C., Banerjee, P. P., Schwartz, A., Alaraj, A. M., Lemole, G. M., Charbel, F. T., Smith, K. M., Rizzi, S., Byrne, R. W., et al. (2013) · Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0b013e3182662c69 · Cited by 115 · see citing works

The Role of Simulation in Neurosurgical Education: A Survey of 99 United States Neurosurgery Program Directors

Ganju, A., Aoun, S. G., Daou, M. R., Ahmadieh, T. Y. E., Chang, A., Wang, L., Batjer, H. H., & Bendok, B. R. (2012) · World Neurosurgery · doi:10.1016/j.wneu.2012.11.066 · Cited by 109 · see citing works

Mobile Health in Oncology: A Patient Survey About App-Assisted Cancer Care

Kessel, K. A., Vogel, M. M. E., Kessel, C., Bier, H., Biedermann, T., Friess, H., Herschbach, P., von Eisenhart‐Rothe, R., Meyer, B., Kiechle, M. B., et al. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7689 · Cited by 104 · see citing works

Motion generation of robotic surgical tasks: Learning from expert demonstrations

Reiley, C. E., Plaku, E., & Hager, G. D. (2010) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2010.5627594 · Cited by 98 · see citing works

Virtual Endoscopy for Planning and Simulation of Minimally Invasive Neurosurgery

Auer, L. M., Auer, L. M., & Auer, D. P. (1998) · Neurosurgery · doi:10.1097/00006123-199809000-00072 · Cited by 96 · see citing works

Perceptions of junior doctors and undergraduate medical students as anatomy teachers: Investigating distance along the near‐peer teaching spectrum

Hall, S., Stephens, J., Andrade, T., Davids, J., Powell, M., & Border, S. (2013) · Anatomical Sciences Education · doi:10.1002/ase.1419 · Cited by 91 · see citing works

Crowd-Sourced Assessment of Technical Skills: Differentiating Animate Surgical Skill Through the Wisdom of Crowds

Holst, D. D., Kowalewski, T. M., White, L. W., Brand, T. C., Harper, J. D., Sorensen, M. D., Truong, M., Simpson, K. M., Tanaka, A., Smith, R. D., et al. (2015) · Journal of Endourology · doi:10.1089/end.2015.0104 · Cited by 86 · see citing works

Evaluation and Implementation of a High-Fidelity Cleft Palate Simulator

Podolsky, D. J., Fisher, D. M., Wong, K. W., Looi, T., Drake, J. M., & Forrest, C. R. (2016) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000002923 · Cited by 81 · see citing works

The Role of Laboratory Dissection Training in Neurosurgical Residency: Results of a National Survey

Kshettry, V. R., Mullin, J. P., Schlenk, R. P., Recinos, P. F., & Benzel, E. C. (2014) · World Neurosurgery · doi:10.1016/j.wneu.2014.05.028 · Cited by 80 · see citing works

Virtual Reality–Based Simulation Training for Ventriculostomy

Schirmer, C. M., Elder, J. B., Roitberg, B. Z., & Lobel, D. A. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000074 · Cited by 78 · see citing works

Automatic recognition of surgical motions using statistical modeling for capturing variability.

Reiley, C. E., Lin, H., Varadarajan, B., Vágvölgyi, B., Khudanpur, S., Yuh, D. D., & Hager, G. D. (2008) · PubMed · Cited by 78 · see citing works

Practice Makes Perfect? The Role of Simulation-Based Deliberate Practice and Script-Based Mental Rehearsal in the Acquisition and Maintenance of Operative Neurosurgical Skills

Marcus, H. J., Vakharia, V. N., Kirkman, M. A., Murphy, M., & Nandi, D. (2012) · Neurosurgery · doi:10.1227/neu.0b013e318270d010 · Cited by 77 · see citing works

Virtual Cerebral Aneurysm Clipping with Real-Time Haptic Force Feedback in Neurosurgical Education

Gmeiner, M., Dirnberger, J., Fenz, W., Gollwitzer, M., Wurm, G., Trenkler, J., & Gruber, A. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.01.042 · Cited by 77 · see citing works

Percutaneous Spinal Fixation Simulation With Virtual Reality and Haptics

Luciano, C., Banerjee, P. P., Sorenson, J. M., Foley, K. T., Ansari, S. A., Rizzi, S., Germanwala, A. V., KRANZLER, L. I., Chittiboina, P., & Roitberg, B. Z. (2012) · Neurosurgery · doi:10.1227/neu.0b013e3182750a8d · Cited by 75 · see citing works

The factor structure of cybersickness

Bruck, S., & Watters, P. (2011) · Displays · doi:10.1016/j.displa.2011.07.002 · Cited by 75 · see citing works

Neurosurgical resident education in Europe—results of a multinational survey

Stienen, M. N., Netuka, D., Demetriades, A. K., Ringel, F. A., Gautschi, O. P., Gempt, J., Kuhlen, D., & Schaller, K. (2015) · Acta Neurochirurgica · doi:10.1007/s00701-015-2632-0 · Cited by 71 · see citing works

An Experimental Feasibility Study on Robotic Endonasal Telesurgery

Wirz, R., Torres, L. G., Swaney, P. J., Gilbert, H. B., Alterovitz, R., Webster, R. J., III, Weaver, K. D., & Russell, P. T. (2015) · Neurosurgery · doi:10.1227/neu.0000000000000623 · Cited by 70 · see citing works

The Efficacy of Immersive Virtual Reality Surgical Simulator Training for Pedicle Screw Placement: A Randomized Double-Blind Controlled Trial

Xin, B., Chen, G., Wang, Y., Bai, G., Gao, X., Chu, J., Xiao, J., & Liu, T. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.12.090 · Cited by 69 · see citing works

Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture

Silva, M. A., Patel, J., Kavouridis, V. K., Gallerani, T., Beers, A. L., Chang, K., Hoebel, K., Brown, J. M., See, A. P., Gormley, W. B., et al. (2019) · World Neurosurgery · doi:10.1016/j.wneu.2019.06.231 · Cited by 69 · see citing works

Surgical Expertise in Neurosurgery

Gélinas-Phaneuf, N., & Maestro, R. F. D. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000115 · Cited by 68 · see citing works

Neurosurgical Training With a Novel Cervical Spine Simulator

Harrop, J. S., Rezai, A. R., Hoh, D. J., Ghobrial, G. M., & Sharan, A. D. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000103 · Cited by 68 · see citing works

Teaching Palatoplasty Using a High-Fidelity Cleft Palate Simulator

Cheng, H., Podolsky, D. J., Fisher, D. M., Wong, K. W., Lorenz, H. P., Khosla, R. K., Drake, J. M., & Forrest, C. R. (2017) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000003957 · Cited by 60 · see citing works

Developing an Anterior Cervical Diskectomy and Fusion Simulator for Neurosurgical Resident Training

Ray, W. Z., Ganju, A., Harrop, J. S., & Hoh, D. J. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000088 · Cited by 58 · see citing works

A practical 3D printed simulator for endoscopic endonasal transsphenoidal surgery to improve basic operational skills

Wen, G., Cong, Z., Liu, K., Tang, C., Zhong, C., Li, L., Dai, X., & Ma, C. (2016) · Child s Nervous System · doi:10.1007/s00381-016-3051-0 · Cited by 58 · see citing works

The efficacy of immersive virtual reality surgical simulator training for pedicle screw placement: a randomized double-blind controlled trial

Xin, B., Huang, X., Wan, W., Lv, K., Hu, Y., Wang, J., Li, S., Zou, W., Xiao, J., & Liu, T. (2020) · International Orthopaedics · doi:10.1007/s00264-020-04488-y · Cited by 58 · see citing works

Mixed Reality Ventriculostomy Simulation

Hooten, K. G., Lister, J. R., Lombard, G. J., Lizdas, D. E., Lampotang, S., Rajon, D. A., Bova, F. J., & Murad, G. J. A. (2014) · Operative Neurosurgery · doi:10.1227/neu.0000000000000503 · Cited by 57 · see citing works

Simulator based angiography education in neurosurgery: results of a pilot educational program: Table 1

Fargen, K. M., Siddiqui, A. H., Veznedaroglu, E., Turner, R. D., Ringer, A. J., & Mocco, J. (2011) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2011-010128 · Cited by 55 · see citing works

Use of a surgical rehearsal platform and improvement in aneurysm clipping measures: results of a prospective, randomized trial

Chugh, A. J. S., Pace, J., Singer, J. A., Tatsuoka, C. M., Hoffer, A., Selman, W. R., & Bambakidis, N. C. (2016) · Journal of neurosurgery · doi:10.3171/2016.1.jns152576 · Cited by 54 · see citing works

Virtual Reality Angiogram vs 3-Dimensional Printed Angiogram as an Educational tool—A Comparative Study

Bairamian, D., Liu, S., & Eftekhar, B. (2019) · Neurosurgery · doi:10.1093/neuros/nyz003 · Cited by 53 · see citing works

The Creation and Verification of Cranial Models Using Three-dimensional Rapid Prototyping Technology in Field of Transnasal Sphenoid Endoscopy

Waran, V., Menon, R., Pancharatnam, D., Rathinam, A. K., Balakrishnan, Y. K., Tung, T. S., Raman, R., Prepageran, N., Chandran, H., & Rahman, Z. A. A. (2012) · American Journal of Rhinology and Allergy · doi:10.2500/ajra.2012.26.3808 · Cited by 52 · see citing works

Comparative effectiveness and safety of image guidance systems in neurosurgery: a preclinical randomized study

Marcus, H. J., Pratt, P., Hughes‐Hallett, A., Cundy, T. P., Marcus, A. P., Yang, G., Darzi, A. W., & Nandi, D. (2015) · Journal of neurosurgery · doi:10.3171/2014.10.jns141662 · Cited by 51 · see citing works

Implementing Precision Medicine and Artificial Intelligence in Plastic Surgery: Concepts and Future Prospects

Kim, Y. J., Kelley, B., Nasser, J. S., & Chung, K. C. (2019) · Plastic & Reconstructive Surgery Global Open · doi:10.1097/gox.0000000000002113 · Cited by 50 · see citing works

Surgical telementoring: A new model for surgical training

Snyderman, C. H., Gardner, P. A., Lanišnik, B., & Ravnik, J. (2016) · The Laryngoscope · doi:10.1002/lary.25753 · Cited by 49 · see citing works

3D printing of intracranial aneurysm based on intracranial digital subtraction angiography and its clinical application

Wang, J.-L., Yuan, Z.-G., Qian, G.-L., Bao, W., & Jin, G. (2018) · Medicine · doi:10.1097/md.0000000000011103 · Cited by 49 · see citing works

Use of Google Glass to Enhance Surgical Education of Neurosurgery Residents: “Proof-of-Concept” Study

Nakhla, J. P., Kobets, A. J., Ramos, R. D. L. G., Haranhalli, N., Gelfand, Y. J., Ammar, A., Echt, M., Scoco, A. N., Kinon, M. D., & Yassari, R. (2016) · World Neurosurgery · doi:10.1016/j.wneu.2016.11.122 · Cited by 48 · see citing works

Simulated Lumbar Minimally Invasive Surgery Educational Model With Didactic and Technical Components

Chitale, R. V., Ghobrial, G. M., Lobel, D. A., & Harrop, J. S. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000091 · Cited by 47 · see citing works

Resident simulation training in endoscopic endonasal surgery utilizing haptic feedback technology

Thawani, J. P., Ramayya, A. G., Abdullah, K. G., Hudgins, E. D., Vaughan, K. A., Piazza, M. A., Madsen, P. J., Buch, V., & Grady, M. S. (2016) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2016.05.036 · Cited by 46 · see citing works

Between-trial heterogeneity in meta-analyses may be partially explained by reported design characteristics

Rhodes, K. M., Turner, R., Savović, J., Jones, H. E., Mawdsley, D., & Higgins, J. P. T. (2017) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2017.11.025 · Cited by 44 · see citing works

Usefulness of a Virtual Reality Percutaneous Trigeminal Rhizotomy Simulator in Neurosurgical Training

Shakur, S. F., Luciano, C., Kania, P., Roitberg, B. Z., Banerjee, P. P., Slavin, K. V., Sorenson, J., Charbel, F. T., & Alaraj, A. M. (2015) · Operative Neurosurgery · doi:10.1227/neu.0000000000000853 · Cited by 43 · see citing works

A High Fidelity Cleft Lip Simulator

Podolsky, D. J., Riff, K. W. Y. W., Drake, J. M., Forrest, C. R., & Fisher, D. M. (2018) · Plastic & Reconstructive Surgery Global Open · doi:10.1097/gox.0000000000001871 · Cited by 42 · see citing works

A Didactic and Hands-on Module Enhances Resident Microsurgical Knowledge and Technical Skill

Ahmadieh, T. Y. E., Aoun, S. G., Tecle, N. E. E., Nanney, A. D., Daou, M. R., Harrop, J. S., Batjer, H. H., & Bendok, B. R. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000104 · Cited by 39 · see citing works

Establishment of Next-Generation Neurosurgery Research and Training Laboratory with Integrated Human Performance Monitoring

Bernardo, A. (2017) · World Neurosurgery · doi:10.1016/j.wneu.2017.06.160 · Cited by 38 · see citing works

Robotics in Keyhole Transcranial Endoscope-Assisted Microsurgery

Marcus, H. J., Seneci, C., Payne, C. J., Nandi, D., Darzi, A. W., & Yang, G. (2013) · Operative Neurosurgery · doi:10.1227/neu.0000000000000123 · Cited by 37 · see citing works

Effectiveness of the Thoracic Pedicle Screw Placement Using the Virtual Surgical Training System: A Cadaver Study

Hou, Y., Lin, Y., Shi, J., Chen, H., & Yuan, W. (2018) · Operative Neurosurgery · doi:10.1093/ons/opy030 · Cited by 37 · see citing works

Simulated Spinal Cerebrospinal Fluid Leak Repair

Ghobrial, G. M., Anderson, P. A., Chitale, R. V., Campbell, P. G., Lobel, D. A., & Harrop, J. S. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000100 · Cited by 36 · see citing works

A novel, low-cost, reusable, high-fidelity neurosurgical training simulator for cerebrovascular bypass surgery

Cıkla, U., Şahin, B., Hanalıoğlu, Ş., Ahmed, A. S., Niemann, D., & Başkaya, M. K. (2018) · Journal of neurosurgery · doi:10.3171/2017.11.jns17318 · Cited by 36 · see citing works

Patient-specific neurosurgical phantom: assessment of visual quality, accuracy, and scaling effects

Grillo, F. W., Souza, V. H., Matsuda, R. H., Rondinoni, C., Pavan, T. Z., Baffa, O., Machado, H. R., & Carneiro, A. A. O. (2018) · 3D Printing in Medicine · doi:10.1186/s41205-018-0025-8 · Cited by 35 · see citing works

Increasing motivation and engagement in neurosurgery for medical students through practical simulation-based learning

HANRAHAN, J. G., Sideris, M. C., Tsitsopoulos, P. P., Bimpis, A., Pasha, T., Whitfield, P. C., & Papalois, A. E. (2018) · Annals of Medicine and Surgery · doi:10.1016/j.amsu.2018.08.002 · Cited by 35 · see citing works

Sub-millimeter ECoG pitch in human enables higher fidelity cognitive neural state estimation

Hermiz, J., Rogers, N., Kaestner, E. J., Ganji, M., Cleary, D. R., Carter, B. S., Barba, D., Dayeh, S. A., Halgren, E., & Gilja, V. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.027 · Cited by 34 · see citing works

Design of a synthetic simulator for pediatric lumbar spine pathologies

Mattei, T. A., Frank, C. P., Bailey, J., Lesle, E., Macuk, A. L., Lesniak, M., Patel, A., Morris, M. J., Nair, K., & Lin, J. (2013) · Journal of Neurosurgery Pediatrics · doi:10.3171/2013.4.peds12540 · Cited by 33 · see citing works

Simulation-based Education for Endoscopic Third Ventriculostomy: A Comparison Between Virtual and Physical Training Models

Breimer, G. E., Haji, F. A., Bodani, V., Cunningham, M. S., Lopez-Rios, A.-L., Okrainec, A., & Drake, J. M. (2016) · Operative Neurosurgery · doi:10.1227/neu.0000000000001317 · Cited by 32 · see citing works

Operator experience determines performance in a simulated computer-based brain tumor resection task

Holloway, T. D., Lorsch, Z. S., Chary, M. A., Sobótka, S., Moore, M. M., Costa, A. B., Maestro, R. F. D., & Bederson, J. B. (2015) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-015-1160-y · Cited by 31 · see citing works

Comparison of cadaveric and isomorphic virtual haptic simulation in temporal bone training

Wong, D., Unger, B. J., Kraut, J., Pisa, J., Rhodes, C. R., & Hochman, J. B. (2014) · Journal of Otolaryngology - Head and Neck Surgery · doi:10.1186/s40463-014-0031-9 · Cited by 31 · see citing works

A pilot study of the utility of a laboratory-based spinal fixation training program for neurosurgical residents

Sundar, S. J., Healy, A. T., Kshettry, V. R., Mroz, T. E., Schlenk, R. P., & Benzel, E. C. (2016) · Journal of Neurosurgery Spine · doi:10.3171/2015.8.spine15119 · Cited by 30 · see citing works

Teaching Palatoplasty Using a High-Fidelity Cleft Palate Simulator

Pang, X., Yang, C., Shi, B., & Li, C. (2018) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000005030 · Cited by 30 · see citing works

Filling the gap between the OR and virtual simulation: a European study on a basic neurosurgical procedure

European Neurosurgery Simulation Study Group (ENSSG), Perin, A., Galbiati, T. F., Gambatesa, E., Ayadi, R., Orena, E. F., Cuomo, V., Riker, N. I., Falsitta, L. V., Schembari, S., et al. (2018) · Acta Neurochirurgica · doi:10.1007/s00701-018-3676-8 · Cited by 30 · see citing works

Virtual Reality Tumor Resection: The Force Pyramid Approach

Sawaya, R., Bugdadi, A., Azarnoush, H., Winkler-Schwartz, A., Alotaibi, F. E., Bajunaid, K. M., AlZhrani, G. A., Alsideiri, G., Sabbagh, A. J., & Maestro, R. F. D. (2017) · Operative Neurosurgery · doi:10.1093/ons/opx189 · Cited by 29 · see citing works

Automaticity of Force Application During Simulated Brain Tumor Resection: Testing the Fitts and Posner Model

Bugdadi, A., Sawaya, R., Olwi, D. I., AlZhrani, G. A., Azarnoush, H., Sabbagh, A. J., Alsideiri, G., Bajunaid, K. M., Alotaibi, F. E., Winkler-Schwartz, A., et al. (2017) · Journal of surgical education · doi:10.1016/j.jsurg.2017.06.018 · Cited by 28 · see citing works

Cadaver Dissection in Anatomy: The Ethical Aspect

Shaikh, S. T. (2015) · Anatomy & Physiology · doi:10.4172/2161-0940.s5-007 · Cited by 27 · see citing works

Neurosurgical tactile discrimination training with haptic-based virtual reality simulation

Patel, A. P., Koshy, N., Ortega-Barnett, J. R., Chan, H. C., KUO, Y.-F., Luciano, C., Rizzi, S., Matulyauskas, M., Kania, P., Banerjee, P. P., et al. (2014) · Neurological Research · doi:10.1179/1743132814y.0000000405 · Cited by 26 · see citing works

Cadaveric Spinal Surgery Simulation: A Comparison of Cadaver Types

Tomlinson, J. E., Yiasemidou, M., Watts, A. L., Roberts, D. J. H., & Timothy, J. (2015) · Global Spine Journal · doi:10.1055/s-0035-1563724 · Cited by 26 · see citing works

Simulation of Dural Repair in Minimally Invasive Spine Surgery With the Use of a Perfusion-Based Cadaveric Model

Buchanan, I. A., Min, E., Pham, M. H., Donoho, D. A., Bakhsheshian, J., Minneti, M., Zada, G., Giannotta, S. L., Hsieh, P. C., & Liu, J. C. (2019) · Operative Neurosurgery · doi:10.1093/ons/opz041 · Cited by 24 · see citing works

In vivo porcine training model for cranial neurosurgery

Regelsberger, J., Eicker, S. O., Siasios, I., Hänggi, D., Kirsch, M., Horn, P., Winkler, P., Signoretti, S., Fountas, K. N., Dufour, H., et al. (2014) · Neurosurgical Review · doi:10.1007/s10143-014-0572-4 · Cited by 23 · see citing works

Simulation-Based Neurosurgical Training for the Presigmoid Approach With a Physical Model

Jabbour, P. M., & Chalouhi, N. (2013) · Neurosurgery · doi:10.1227/neu.0000000000000090 · Cited by 23 · see citing works

Evaluation of Problem- and Simulator-Based Learning in Lumbar Puncture in Adult Neurology Residency Training

Sun, C., & Qi, X. (2017) · World Neurosurgery · doi:10.1016/j.wneu.2017.10.093 · Cited by 23 · see citing works

A Novel Virtual Reality Simulation for Hemostasis in a Brain Surgical Cavity: Perceived Utility for Visuomotor Skills in Current and Aspiring Neurosurgery Residents

Gasco, J., Patel, A. P., Luciano, C., Holbrook, T. J., Ortega-Barnett, J. R., Kuo, Y., Rizzi, S., Kania, P., Banerjee, P. P., & Roitberg, B. Z. (2013) · World Neurosurgery · doi:10.1016/j.wneu.2013.09.040 · Cited by 22 · see citing works

Mobile Endoscopy: A Treatment and Training Model for Childhood Hydrocephalus

Qureshi, M. M., Piquer, J., & Young, P. H. (2012) · World Neurosurgery · doi:10.1016/j.wneu.2012.02.001 · Cited by 22 · see citing works

Evaluating innovation. Part 1: The concept of progressive scholarly acceptance

Schnurman, Z., & Kondziolka, D. S. (2015) · Journal of neurosurgery · doi:10.3171/2015.1.jns142661 · Cited by 22 · see citing works

Three-Dimensional Printed Model Used to Teach Skull Base Anatomy Through a Transsphenoidal Approach for Neurosurgery Residents

Shah, K. J., Peterson, J. C., Beahm, D. D., Camarata, P. J., & Chamoun, R. B. (2015) · Operative Neurosurgery · doi:10.1227/neu.0000000000001127 · Cited by 22 · see citing works

The Flower Petal Training System in Microsurgery

Volovici, V., Dammers, R., Lawton, M. T., Dirven, C. M. F., Ketelaar, T., Lanzino, G. S., & Zamfirescu, D. (2019) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000001914 · Cited by 22 · see citing works

Simulation-based training for burr hole surgery instrument recognition

Clarke, D. B., Kureshi, N., Hong, M. G. L., Sadeghi, M., & D’Arcy, R. C. N. (2016) · BMC Medical Education · doi:10.1186/s12909-016-0669-2 · Cited by 21 · see citing works

The Effectiveness of Bioskills Training for Simulated Open Lumbar Laminectomy

Boody, B. S., Rosenthal, B. D., Jenkins, T. J., Patel, A. A., Savage, J. W., & Hsu, W. K. (2017) · Global Spine Journal · doi:10.1177/2192568217703337 · Cited by 21 · see citing works

Simulation Training Curricula for Neurosurgical Residents: Cervical Foraminotomy and Durotomy Repair Modules

Ghobrial, G. M., Balsara, K. E., Maulucci, C. M., Resnick, D. K., Selden, N. R. W., Sharan, A. D., & Harrop, J. S. (2015) · World Neurosurgery · doi:10.1016/j.wneu.2015.04.056 · Cited by 20 · see citing works

Development of a modelled anatomical replica for training young neurosurgeons

Craven, C. L., Baxter, D., Cooke, M., Carline, L., Alberti, S. J. M. M., Beard, J., & Murphy, M. (2014) · British Journal of Neurosurgery · doi:10.3109/02688697.2014.913775 · Cited by 20 · see citing works

USim: A New Device and App for Case-Specific, Intraoperative Ultrasound Simulation and Rehearsal in Neurosurgery. A Preliminary Study

Perin, A., Prada, F. U., Moraldo, M., Schiappacasse, A., Galbiati, T. F., Gambatesa, E., d’Orio, P., Riker, N. I., Basso, C., Santoro, M., et al. (2017) · Operative Neurosurgery · doi:10.1093/ons/opx144 · Cited by 20 · see citing works

Creating a culture of safety within operative neurosurgery: the design and implementation of a perioperative safety video

Lau, C. Y., Greysen, S. R., Mistry, R. I., Han, S. J., Mummaneni, P. V., & Berger, M. S. (2012) · Neurosurgical FOCUS · doi:10.3171/2012.9.focus12244 · Cited by 19 · see citing works

Development and evaluation of a craniocerebral model with tactile-realistic feature and intracranial pressure for neurosurgical training

Yi, Z., He, B., Liu, Y., Huang, S., & Hong, W. (2019) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2019-015008 · Cited by 19 · see citing works

Economy of Hand Motion During Cleft Palate Surgery Using a High-Fidelity Cleft Palate Simulator

Ghanem, A. M., Podolsky, D. J., Fisher, D. M., Riff, K. W. Y. W., Myers, S. R., Drake, J. M., & Forrest, C. R. (2018) · The Cleft Palate-Craniofacial Journal · doi:10.1177/1055665618793768 · Cited by 18 · see citing works

A “Smart” Force-Limiting Instrument for Microsurgery: Laboratory and In Vivo Validation

Marcus, H. J., Payne, C. J., Kailaya-Vasan, A., Griffiths, S., Clark, J. A., Yang, G., Darzi, A. W., & Nandi, D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162232 · Cited by 17 · see citing works

The Role of Low-Cost Microsurgical Training Models and Experience with Exercises Based on a Bovine Heart

Olijnyk, L., Patel, K., Brandão, M. R. F., de Morais, A. N. L., de Carvalho, R. F., Severino, A. G., Mayor, D., da Silva, C. E., & Stefani, M. A. (2019) · World Neurosurgery · doi:10.1016/j.wneu.2019.06.089 · Cited by 16 · see citing works

Impact of a Vascular Neurosurgery Simulation-Based Course on Cognitive Knowledge and Technical Skills in European Neurosurgical Trainees

Zammar, S. G., Tecle, N. E. E., Ahmadieh, T. Y. E., Adelson, P. D., Veznedaroglu, E., Surdell, D. L., Harrop, J. S., Beneš, V., Rezai, A. R., Resnick, D. K., et al. (2014) · World Neurosurgery · doi:10.1016/j.wneu.2014.12.001 · Cited by 15 · see citing works

Simulator and 2 tools: Validation of performance measures from a novel neurosurgery simulation model using the current Standards framework

Rooney, D. M., Tai, B. L., Sagher, O., Shih, A. J., Wilkinson, D. A., & Savastano, L. E. (2016) · Surgery · doi:10.1016/j.surg.2016.03.035 · Cited by 15 · see citing works

Cost Effective Use of Free-to-Use Apps in Neurosurgery (FAN) in Developing Countries: From Clinical Decision Making to Educational Courses, Strengthening Health Care Delivery

Thapa, A., Bidur, K. C., & Shakya, B. (2016) · World Neurosurgery · doi:10.1016/j.wneu.2016.08.001 · Cited by 15 · see citing works

Microsurgical Performance After Sleep Interruption: A NeuroTouch Simulator Study

Micko, A. S. G., Knopp, K., Knosp, E., & Wolfsberger, S. (2017) · World Neurosurgery · doi:10.1016/j.wneu.2017.06.142 · Cited by 14 · see citing works

Development of a Whole-Task Simulator for Carotid Endarterectomy

Santangelo, G., Mix, D., Ghazi, A., Stoner, M. C., Vates, G. E., & Stone, J. J. (2017) · Operative Neurosurgery · doi:10.1093/ons/opx209 · Cited by 14 · see citing works

Twelve tips for postgraduate or undergraduate medics building a basic microsurgery simulation training course

Mason, K., Theodorakopoulou, E., Pafitanis, G., Ghanem, A. M., & Myers, S. R. (2016) · Medical Teacher · doi:10.3109/0142159x.2016.1150978 · Cited by 13 · see citing works

A Low-Cost, Passive Navigation Training System for Image-Guided Spinal Intervention

Espinoza, D. L., González-Carranza, V., de León, F. C.-P., Escamirosa, F. P., & Martínez, A. M. (2016) · World Neurosurgery · doi:10.1016/j.wneu.2016.08.006 · Cited by 13 · see citing works

Evaluating innovation. Part 2: Development in neurosurgery

Schnurman, Z., & Kondziolka, D. S. (2015) · Journal of neurosurgery · doi:10.3171/2015.1.jns142664 · Cited by 12 · see citing works

Validity Evidence for the Neuro-Endoscopic Ventriculostomy Assessment Tool (NEVAT)

Breimer, G. E., Haji, F. A., Cinalli, G., Hoving, E. W., & Drake, J. M. (2015) · Operative Neurosurgery · doi:10.1227/neu.0000000000001158 · Cited by 12 · see citing works

Training of Intra-Axial Brain Tumor Resection Using a Self-Made Simple Device with Agar and Gelatin

Mashiko, T., Oguma, H., Konno, T., Gomi, A., Yamaguchi, T., Nagayama, R., Sato, M., Iwase, R., & Kawai, K. (2017) · World Neurosurgery · doi:10.1016/j.wneu.2017.09.162 · Cited by 12 · see citing works

Simulation in neurosurgical training: a blueprint and national approach to implementation for initial years trainees

Zhang, L., Kamaly-Asl, I. D., Luthra, P., & Whitfield, P. C. (2016) · British Journal of Neurosurgery · doi:10.1080/02688697.2016.1211252 · Cited by 11 · see citing works

Application of Microanastomosis Techniques in Vascular Neurosurgery Training and Innovation of Future Surgical Strategies for Giant Aneurysms

Giovani, A., Sandu, A. M., Petrescu, G. E. D., Gorgan, R. M., & Goel, A. H. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.10.239 · Cited by 11 · see citing works

Ready or Not, Here We Go

Dyster, T. G., Sheth, S. A., & McKhann, G. M. (2016) · Neurosurgery · doi:10.1227/01.neu.0000484053.82181.f6 · Cited by 10 · see citing works

Simulated Ventriculostomy Training With Conventional Neuronavigational Equipment Used Clinically in the Operating Room: Prospective Validation Study

Kirkman, M. A., Muirhead, W. R., Sevdalis, N., & Nandi, D. (2015) · Journal of surgical education · doi:10.1016/j.jsurg.2014.12.010 · Cited by 9 · see citing works

Comparison of three aids for teaching lumbar surgical anatomy

Das, S., & Mitchell, P. (2013) · British Journal of Neurosurgery · doi:10.3109/02688697.2013.771723 · Cited by 9 · see citing works

Development and Validation of a Mobile Device-based External Ventricular Drain Simulator

Morone, P. J., Bekelis, K., Root, B. K., & Singer, R. J. (2017) · Operative Neurosurgery · doi:10.1093/ons/opx022 · Cited by 9 · see citing works

Cost‐Effectiveness of Craniotomy for Epidural Hematomas at a Major Government Hospital in Cambodia

Moran, D., Shrime, M. G., Nang, S., Vycheth, I., Vuthy, D., Hong, R., Padula, W. V., & Park, K. B. (2017) · World Journal of Surgery · doi:10.1007/s00268-017-4022-7 · Cited by 8 · see citing works

Surgical Simulation to Evaluate Surgical Innovation: Preclinical Studies With MARTYN

Marcus, H. J., Darzi, A. W., & Nandi, D. (2013) · Bulletin of The Royal College of Surgeons of England · doi:10.1308/147363513x13690603817986 · Cited by 7 · see citing works

Validation of martyn to simulate the keyhole supraorbital subfrontal approach

Marcus, H. J., Hughes‐Hallett, A., Pratt, P., Yang, G., Darzi, A. W., & Nandi, D. (2014) · Bulletin of The Royal College of Surgeons of England · doi:10.1308/rcsbull.2014.96.4.120 · Cited by 7 · see citing works

High-fidelity Training Model for Measurement of Dynamic Optic Nerve Sheath Diameter Using Transorbital Ultrasonography

Hajat, Z., Dinsmore, M., & Venkatraghavan, L. (2019) · Journal of Neurosurgical Anesthesiology · doi:10.1097/ana.0000000000000592 · Cited by 7 · see citing works

Mobile Health (mHealth) Use or Non-Use by Residents of West Virginia

Giacobbi, P. R., Cushing, P., Popa, A., Haggerty, T. S., Hansell, A. H., & Sedney, C. L. (2018) · Southern Medical Journal · doi:10.14423/smj.0000000000000879 · Cited by 5 · see citing works

A low cost dural closure simulation model for tomorrow’s spinal neurosurgeons

Ferguson, D., Agyemang, K., Barrett, C., & Mathieson, C. S. (2018) · British Journal of Neurosurgery · doi:10.1080/02688697.2018.1540765 · Cited by 5 · see citing works

40th Annual Meeting of the International Society for Pediatric Neurosurgery, Sydney, Australia, September 9-13, 2012

(2012) · Child s Nervous System · doi:10.1007/s00381-012-1849-y · Cited by 4 · see citing works

Review of “Ready or Not, Here We Go

Wyhe, R. D. V., & Hollier, L. H. (2016) · Journal of Craniofacial Surgery · doi:10.1097/scs.0000000000003011 · Cited by 1 · see citing works

Effect of Artificial Intelligence Tutoring vs Expert Instruction on Learning Simulated Surgical Skills Among Medical Students: A Randomized Clinical Trial

Fazlollahi, A. M., Bakhaidar, M., Alsayegh, A., Yilmaz, R., Winkler-Schwartz, A., Mirchi, N., Langleben, I., Ledwos, N., Sabbagh, A. J., Bajunaid, K., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.49008 · Cited by 285 · see citing works

Reviewing the current state of virtual reality integration in medical education - a scoping review

Mergen, M., Graf, N. M., & Meyerheim, M. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05777-5 · Cited by 199 · see citing works

A Systematic Literature Review on Extended Reality: Virtual, Augmented and Mixed Reality in Working Life

Vasarainen, M., Paavola, S., & Vetoshkina, L. (2021) · International Journal of Virtual Reality · doi:10.20870/ijvr.2021.21.2.4620 · Cited by 143 · see citing works

Augmented Reality in Neurosurgery, State of Art and Future Projections. A Systematic Review

Cannizzaro, D., Zaed, I., Safa, A., Jelmoni, A. J. M., Composto, A., Bisoglio, A., Schmeizer, K., Becker, A. C., Pizzi, A., Cardia, A., et al. (2022) · Frontiers in Surgery · doi:10.3389/fsurg.2022.864792 · Cited by 117 · see citing works

History of Virtual Reality and Augmented Reality in Neurosurgical Training

Paro, M. R., Hersh, D. S., & Bulsara, K. R. (2022) · World Neurosurgery · doi:10.1016/j.wneu.2022.08.042 · Cited by 77 · see citing works

Virtual dissection of the real brain: integration of photographic 3D models into virtual reality and its effect on neurosurgical resident education

Roh, T. H., Oh, J. W., Jang, C. K., Choi, S., Kim, E. H., Hong, C., & Kim, S.-H. (2021) · Neurosurgical FOCUS · doi:10.3171/2021.5.focus21193 · Cited by 48 · see citing works

The impact of the COVID-19 pandemic on global neurosurgical education: a systematic review

Jain, R., Carneiro, R. A. V. D., Vasilica, A.-M., Chia, W. L., de Souza, A. L. B., Wellington, J., & Kumar, N. S. (2021) · Neurosurgical Review · doi:10.1007/s10143-021-01664-5 · Cited by 45 · see citing works

Spaced Digital Education for Health Professionals: Systematic Review and Meta-Analysis

Martinengo, L., Ng, M. S. P., Ng, T. D. R., Ang, Y.-I., Jabir, A. I., Kyaw, B. M., & Car, L. T. (2024) · Journal of Medical Internet Research · doi:10.2196/57760 · Cited by 55 · see citing works

Development and Validation of a Novel Methodological Pipeline to Integrate Neuroimaging and Photogrammetry for Immersive 3D Cadaveric Neurosurgical Simulation

Hanalıoğlu, Ş., González, N., Mignucci-Jiménez, G., Tunç, O., Gurses, M. E., Abramov, I. T., Xu, Y., Şahin, B., Işıkay, İ., Tatar, İ., et al. (2022) · Frontiers in Surgery · doi:10.3389/fsurg.2022.878378 · Cited by 39 · see citing works

Augmented and virtual reality usage in awake craniotomy: a systematic review

Mofatteh, M., Mashayekhi, M. S., Arfaie, S., Chen, Y., Mirza, A. B., Fares, J., Bandyopadhyay, S., Henich, E., Liao, X., & Bernstein, M. (2022) · Neurosurgical Review · doi:10.1007/s10143-022-01929-7 · Cited by 36 · see citing works

Exercisable Learning-Theory and Evidence-Based Andragogy for Training Effectiveness using XR (ELEVATE-XR): Elevating the ROI of Immersive Technologies

Stanney, K. M., Skinner, A. D., & Hughes, C. L. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2188529 · Cited by 37 · see citing works

Applying objective metrics to neurosurgical skill development with simulation and spaced repetition learning

Robertson, F. C., Stapleton, C. J., Coumans, J.-V. C. E., Nicolosi, F., Vooijs, M., Blitz, S. E., Guerrini, F., Spena, G., Giussani, C. G., Zoia, C., et al. (2023) · Journal of neurosurgery · doi:10.3171/2023.1.jns222651 · Cited by 25 · see citing works

Does Extended Reality Simulation Improve Surgical/Procedural Learning and Patient Outcomes When Compared With Standard Training Methods?

Woodall, W. J., Chang, E. H., Toy, S., Lee, D. R., & Sherman, J. H. (2024) · Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0000000000000767 · Cited by 22 · see citing works

Development of 3-dimensional printed simulation surgical training models for endoscopic endonasal and transorbital surgery

Lee, W., Kim, Y. H., Hong, S.-D., Rho, T.-H., Kim, Y., Dho, Y., Hong, C., & Kong, D. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.966051 · Cited by 20 · see citing works

A synthetic model simulator for intracranial aneurysm clipping: validation of the UpSurgeOn AneurysmBox

Ahmed, R., Muirhead, W. R., Williams, S. C., Bagchi, B., Datta, P., Gupta, P., Fernandez, C. S., Funnell, J. P., HANRAHAN, J. G., Davids, J., et al. (2023) · Frontiers in Surgery · doi:10.3389/fsurg.2023.1185516 · Cited by 18 · see citing works

Neurosurgery resident training using blended learning concepts: Course development and participant evaluation

Hickmann, A.-K., Ferrari, A., Bozinov, O., Stienen, M. N., & Ostendorp, C. (2022) · Neurosurgical Focus · doi:10.3171/2022.5.focus22193 · Cited by 17 · see citing works

Virtual Reality vs Phantom Model: Benefits and Drawbacks of Simulation Training in Neurosurgery

Amini, A., Allgaier, M., Saalfeld, S., Stein, K., Rashidi, A., Swiatek, V. M., Sandalcioglu, I. E., & Neyazi, B. (2024) · Operative Neurosurgery · doi:10.1227/ons.0000000000001167 · Cited by 17 · see citing works

Latex vascular injection as method for enhanced neurosurgical training and skills

Cruz, J. C. P., Macías-Duvignau, M. A., Soto, G. R., Gasca-González, O. O., Baldoncini, M., Miranda-Solís, F., Delgado-Reyes, L., Ovalles, C., Rangel, C. C., Goncharov, E. N., et al. (2024) · Frontiers in Surgery · doi:10.3389/fsurg.2024.1366190 · Cited by 16 · see citing works

The Sellar Region as Seen from Transcranial and Endonasal Perspectives: Exploring Bony Landmarks Through New Surface Photorealistic Three-Dimensional Model Reconstruction for Neurosurgical Anatomy Training

Corvino, S., Piazza, A., Spiriev, T. Y., Tafuto, R., Corrivetti, F., Solari, D., Cavallo, L. M., Somma, A. D., Enseñat, J., de Notaris, M., et al. (2024) · World Neurosurgery · doi:10.1016/j.wneu.2024.02.022 · Cited by 15 · see citing works

Identifying Research Priorities in Digital Education for Health Care: Umbrella Review and Modified Delphi Method Study

Potter, A., Munsch, C., Watson, E., Hopkins, E., Kitromili, S., O'Neill, I. C., Larbie, J., Niittymaki, E., Ramsay, C., Burke, J., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/66157 · Cited by 15 · see citing works

Cloud computing-enabled IIOT system for neurosurgical simulation using augmented reality data access

Liu, J., Qian, K., Qin, Z., Alshehri, M. D., Li, Q., & Tai, Y. (2022) · Digital Communications and Networks · doi:10.1016/j.dcan.2022.04.019 · Cited by 14 · see citing works

An evaluation of physical and augmented patient-specific intracranial aneurysm simulators on microsurgical clipping performance and skills: a randomized controlled study

Dodier, P., Civilla, L., Mallouhi, A., Haider, L., Cho, A., Lederer, P., Wang, W.-T., Dorfer, C., Hosmann, A., Rössler, K., et al. (2023) · Neurosurgical FOCUS · doi:10.3171/2023.10.focus23640 · Cited by 13 · see citing works

Extended reality in cranial and spinal neurosurgery – a bibliometric analysis

Buwaider, A., El-Hajj, V., Mahdi, O. A., Iop, A., Gharios, M., de Giorgio, A., Romero, M., Gerdhem, P., Jean, W. C., Edström, E., et al. (2024) · Acta Neurochirurgica · doi:10.1007/s00701-024-06072-4 · Cited by 10 · see citing works

360-Degree Virtual Reality Utilising Head-Mounted Devices in Undergraduate Nursing and Midwifery Education: A Scoping Review

Alammary, M. A., Halliday, L., & Konstantinidis, S. T. (2023) · Virtual Worlds · doi:10.3390/virtualworlds2040023 · Cited by 12 · see citing works

Models for Delivering High Quality Emergency Neurosurgery in High Income Countries

Boissaud-Cooke, M. A., Broekman, M. L. D., van Dijck, J., Lee, M. B., & Grundy, P. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009366113 · Cited by 12 · see citing works

Overcoming Barriers in Neurosurgical Education: A Novel Approach to Practical Ventriculostomy Simulation

Amini, A., Zeller, Y., Stein, K., Hartmann, K., Wartmann, T., Wex, C. B. A., Mirzaee, E., Swiatek, V. M., Saalfeld, S., Haghikia, A., et al. (2022) · Operative Neurosurgery · doi:10.1227/ons.0000000000000272 · Cited by 10 · see citing works

Advances and Innovations in Ablative Head and Neck Oncologic Surgery Using Mixed Reality Technologies in Personalized Medicine

Karnatz, N., Möllmann, H. L., Wilkat, M., Parviz, A., & Rana, M. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11164767 · Cited by 10 · see citing works

From experimental to essential: The evolving role of augmented reality in neurosurgery (2012–2024)

Cosmo, L. D., Choueiri, J. E., Pellicanò, F., Salman, H., Colella, F. E., Zaed, I., & Cannizzaro, D. (2025) · Neurochirurgie · doi:10.1016/j.neuchi.2025.101672 · Cited by 9 · see citing works

Benchtop simulation of the retrosigmoid approach: Validation of a surgical simulator and development of a task-specific outcome measure score

Williams, S. C., Ahmed, R., Davids, J., Funnell, J. P., HANRAHAN, J. G., Horsfall, H. L., Muirhead, W. R., Nicolosi, F., Thorne, L. W., Marcus, H. J., et al. (2023) · World Neurosurgery X · doi:10.1016/j.wnsx.2023.100230 · Cited by 9 · see citing works

Innovations in craniovertebral junction training: harnessing the power of mixed reality and head-mounted displays

Ganeshkumar, A., Katiyar, V., Singh, P., Sharma, R., Raheja, A., Garg, K., Mishra, S., Tandon, V., Garg, A. K., Servadei, F., et al. (2023) · Neurosurgical FOCUS · doi:10.3171/2023.10.focus23613 · Cited by 8 · see citing works

Quantitative Neuroanatomical Measurement on Photogrammetric Model: Validation Study

Piazza, A., Bellomo, J., Corvino, S., Agosti, E., Serioli, S., Campeggi, A., Corrivetti, F., Regli, L., Serra, C., & de Notaris, M. (2025) · World Neurosurgery · doi:10.1016/j.wneu.2024.123574 · Cited by 9 · see citing works

Development and Validation of a Neurosurgical Phantom for Simulating External Ventricular Drain Placement

van Doormaal, J. A. M., Fick, T., Boskovic, E., Hoving, E. W., Robe, P. A. J. T., & van Doormaal, T. P. C. (2025) · Journal of Medical Systems · doi:10.1007/s10916-024-02133-4 · Cited by 7 · see citing works

Developing a high fidelity, low cost simulation model for retrosigmoid craniotomy and microvascular decompression of the trigeminal nerve

Roche, A. F., Redmond, T., Zilani, G., Healy, V., & Condron, C. M. (2024) · British Journal of Neurosurgery · doi:10.1080/02688697.2024.2391858 · Cited by 7 · see citing works

School of Thrombectomy—A 3-Step Approach to Perform Acute Stroke Treatment with Simulator Training and Virtual Supervision by Remote Streaming Support (RESS)

Paech, D., Lehnen, N. C., Lakghomi, A., Schievelkamp, A., Gronemann, C., Bode, F. J., Radbruch, A., & Dorn, F. (2022) · Clinical Neuroradiology · doi:10.1007/s00062-022-01242-2 · Cited by 7 · see citing works

Incorporating simulation into the neurosurgical residency curriculum: a program director survey

Kilbourn, K. J., Leclair, N. K., Martin, J. E., Bookland, M. J., Kureshi, I. U., Bulsara, K. R., & Hersh, D. S. (2023) · Journal of neurosurgery · doi:10.3171/2023.1.jns222589 · Cited by 7 · see citing works

An International Course on Intraoperative Ultrasound in Neurosurgery: Evaluation of a Multicenter, Hands-On Course in Promoting Familiarity and Use of Intraoperative Ultrasound in Neurosurgery

Mazurek, M. H., Bassa, M. J., Padayachy, L. C., Wetzel, E. A., Moiyadi, A. V., Perin, A., de Quintana, C., Prada, F. U., Nahed, B. V., DiMeco, F., et al. (2025) · World Neurosurgery · doi:10.1016/j.wneu.2025.124524 · Cited by 6 · see citing works

Continuous Instrument Tracking in a Cerebral Corticectomy Ex Vivo Calf Brain Simulation Model: Face and Content Validation

Almansouri, A., Hamdan, N. A., Yilmaz, R., Tee, T., Pachchigar, P., Eskandari, M., Agu, C., Giglio, B., Balasubramaniam, N., Bierbrier, J. L., et al. (2024) · Operative Neurosurgery · doi:10.1227/ons.0000000000001044 · Cited by 6 · see citing works

The role of artificial intelligence, performance metrics, and virtual reality in neurosurgical education: an umbrella review

Harley, J. M., Tawakol, T., Azher, S., Quaiattini, A., & Maestro, R. F. D. (2024) · Global Surgical Education - Journal of the Association for Surgical Education · doi:10.1007/s44186-024-00284-z · Cited by 6 · see citing works

Expertise in surgical neuro-oncology. Results of a survey by the EANS neuro-oncology section

Gousias, K., Hoyer, A., Mazurczyk, L. A., Bartek, J. J., Bruneau, M., Çeltikçi, E., Foroglou, N., Freyschlag, C. F., Grossman, R., Jungk, C., et al. (2024) · Brain and Spine · doi:10.1016/j.bas.2024.102822 · Cited by 6 · see citing works

Pterional vs. lateral supraorbital approach in the management of middle cerebral artery aneurysms: insights from a phantom model study

Amini, A., Swiatek, V. M., Stein, K., Rashidi, A., Sandalcioglu, I. E., & Neyazi, B. (2024) · Neurosurgical Review · doi:10.1007/s10143-024-02518-6 · Cited by 6 · see citing works

Innovative growth and development of a neurological surgery residency cadaveric spine-simulation training program: a single-institution experience

Unger, R., Schreiner, B., Pang, B. W., Obayashi, J., McCartney, S., Dingman, J., Selden, N. R. W., Dog⫧an, A., & Ciporen, J. N. (2024) · Journal of Neurosurgery Spine · doi:10.3171/2023.10.spine23273 · Cited by 5 · see citing works

Generating Operative Workflows for Vestibular Schwannoma Resection: A Two-Stage Delphi's Consensus in Collaboration with the British Skull Base Society. Part 1: The Retrosigmoid Approach

Horsfall, H. L., Khan, D. Z., Collins, J. W., Cooke, S., Freeman, S. R. M., Gurusinghe, N. T., Hampton, S., Hardwidge, C., Irving, R. M., Kitchen, N. D., et al. (2022) · Journal of Neurological Surgery Part B Skull Base · doi:10.1055/a-1886-5500 · Cited by 5 · see citing works

External Ventricular Drain (EVD) Placement Using a Hands-On Training Session on a Simple Three-Dimensional (3D) Model

Podkovik, S., Patchana, T., Farr, S., Brazdzionis, J., Marino, M. A., Savla, P., Kashyap, S., Chin, B., Crouch, A., & Miulli, D. E. (2022) · Cureus · doi:10.7759/cureus.28014 · Cited by 5 · see citing works

Smartwatch-based wrist tremor assessment in neurosurgical simulator training

Berger, L., Civilla, L., Dodier, P., Rössler, K., & Moscato, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-08244-3 · Cited by 4 · see citing works

Non-cadaveric spine surgery simulator training in neurosurgical residency

Pöser, P., Schenk, R., Miller, H., Alghamdi, A., Lavalley, A., Tielking, K., Nissimov, N., Früh, A. M., Chakkalakal, D., Patsouris, V., et al. (2024) · North American Spine Society Journal (NASSJ) · doi:10.1016/j.xnsj.2024.100573 · Cited by 4 · see citing works

New 3D printed simulator for training of endoscopic transsphenoidal surgery used in a dedicated pituitary course: A French cross-sectional study

Baussart, B., Prebot, J., Assié, G., Reina, V., Leclercq, D., Villa, C., & Gaillard, S. (2025) · Neurochirurgie · doi:10.1016/j.neuchi.2025.101652 · Cited by 4 · see citing works

Approaches to the Development of Virtual Surgical Training

Sharaeva, R. A., Kugurakova, V. V., Galieva, R. R., & Зинченко, С. В. (2022) · Russian Digital Libraries Journal · doi:10.26907/1562-5419-2022-25-5-489-532 · Cited by 4 · see citing works

Augmented Reality as a Tool for Enhancing Neurosurgery: An Exploration of Mixed Reality Surgical Technologies

Haq, M. Z., Willett, A., & Holland, J. (2023) · Journal of Scientific Innovation in Medicine · doi:10.29024/jsim.179 · Cited by 4 · see citing works

Augmented and Virtual Reality Usage in Awake Craniotomy: A Systematic ReviewPreprint

Mofatteh, M., Mashayekhi, M. S., Arfaie, S., Chen, Y., Mirza, A. B., Fares, J., Bandyopadhyay, S., Henich, E., Liao, X., & Bernstein, M. (2022) · Research Square · doi:10.21203/rs.3.rs-1967830/v1 · Cited by 4 · see citing works

A Comprehensive Training Model for Simulation of Intracranial Aneurysm Surgery Using a Human Placenta and a Cadaveric Head

Schlichting, E. D., Zaldivar‐Jolissaint, J. F., Molter, N., Chenevas-Paule, M., Hamadmad, A., Giroux, L., Lazard, A., Riethmuller, D., Chaffanjon, P. C., Coll, G., et al. (2024) · Operative Neurosurgery · doi:10.1227/ons.0000000000001190 · Cited by 3 · see citing works

How Good is Neurosurgical Training? Validation of a Perfused Microsurgical Aneurysm Training Simulator Using a Modified Objective Structured Assessment of Aneurysm Clipping Skills Score and Indocyanine Green Angiography

Reiser, J., Amini, A., Swiatek, V. M., Taskaya, F., Al-Hamid, S., Stein, K., Rashidi, A., Sandalcioglu, I. E., & Neyazi, B. (2025) · Operative Neurosurgery · doi:10.1227/ons.0000000000001515 · Cited by 3 · see citing works

Simulation tools in neuro-oncological surgery: a scoping review of perioperative and training applications

Menna, G., Riva, D. D., Marino, S., Garber, J., Gerritsen, J. K. W., Mattogno, P. P., Young, J. S., Olivi, A., Doglietto, F., Berger, M. S., et al. (2025) · Journal of Neuro-Oncology · doi:10.1007/s11060-025-04972-8 · Cited by 3 · see citing works

Patient and Public Perceptions of Simulation Training in Neurosurgery: A Two-Stage Cross-Sectional Survey

Burton, O. E., Starup‐Hansen, J., Moudgil-Joshi, J., Williams, S. C., Koh, C. H., & Marcus, H. J. (2025) · World Neurosurgery · doi:10.1016/j.wneu.2025.123746 · Cited by 2 · see citing works

Virtual Reality in Neurosurgery: Advancing Training, Education, and Surgical Planning

Saher, L., Asif, A., Mehmood, Z., Fatima, S. S., & Nizam, R. (2025) · Asian Journal of Neurosurgery · doi:10.1055/s-0045-1813259 · Cited by 2 · see citing works

Mechanical Characterization and Standardization of Silicon Scalp and Dura Surrogates for Neurosurgical Simulation

Singh, R., Singh, A., Sen, C., Gautam, U., Roy, S., & Suri, A. (2022) · World Neurosurgery · doi:10.1016/j.wneu.2022.10.090 · Cited by 2 · see citing works

Assessment of High-fidelity Anatomical Models for Performing Pterional Approach: A Practical Clinic in American Association of Neurological Surgeons Meeting 2024

Shaaban, A. T. E., Tos, S. M., Mantziaris, G., Ríos-Zermeño, J., Almeida, J. P., Quiñones‐Hinojosa, A., & Sheehan, J. P. (2024) · World Neurosurgery · doi:10.1016/j.wneu.2024.07.072 · Cited by 2 · see citing works

Mixed Reality and Metaverse

Nicolosi, F., de Laurentis, C., Giussani, C. G., Marcus, H. J., Spena, G., & Ammar, A. S. (2024) · Springer eBooks · doi:10.1007/978-3-031-71477-1_13 · Cited by 2 · see citing works

Development and Assessment of a High-Fidelity Simulator for the Microsurgical Dissection of the Sylvian Fissure

Amini, A., Swiatek, V. M., Stein, K., Rashidi, A., Sandalcioglu, I. E., & Neyazi, B. (2024) · World Neurosurgery · doi:10.1016/j.wneu.2024.11.081 · Cited by 2 · see citing works

The effectiveness of extended reality training programmes for improving psychomotor skill performance: A systematic review and meta-analysis

Bateman, S. P., Meléndez‐Torres, G. J., Harris, D., Buckingham, G., Wilson, M., & Vine, S. J. (2026) · Educational Research Review · doi:10.1016/j.edurev.2026.100824 · Cited by 4 · see citing works

Neurosurgical simulation models developed in Latin America and the Caribbean: a scoping review

Cuello, J. F., Bardach, A., Gromadzyn, G. P., Johnson, A. R., Comandé, D., Aguirre, E., & Ruvinsky, S. (2023) · Neurosurgical Review · doi:10.1007/s10143-023-02263-2 · Cited by 1 · see citing works

Neurosurgical Resident Skill Development Using a Novel Simulator-Based Anterior Cervical Discectomy and Fusion Curriculum

Robertson, F. C., Zygourakis, C. C., Wu, J. Y., Malacon, K. E., Coumans, J.-V. C. E., Shankar, G. M., Stapleton, C. J., Spena, G., Giussani, C. G., Nahed, B. V., et al. (2025) · World Neurosurgery · doi:10.1016/j.wneu.2025.124257 · Cited by 1 · see citing works

Virtual reality force feedback spine surgery simulator training for pedicle screw placement: assessing the impact of seniority and spinal region

Yuan, L., Zhang, Z., Zhou, F., Xia, T., Xu, N., & Sun, Z. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07695-6 · Cited by 1 · see citing works

Development and external validation of a mixed-reality aneurysm clipping simulator

Gmeiner, M., Schrempf, A., Thurner, T., Fenz, W., Sabrowsky-Hirsch, B., Giretzlehner, M., Prückl, R., Schaffelhofer, S., Major, Z., Lämmermann, S., et al. (2025) · Neurosurgical Review · doi:10.1007/s10143-025-03846-x · Cited by 1 · see citing works

Implementation of real-time intraoperative ultrasound and accuracy of transfrontal primary external ventricular drain placement following high-fidelity surgical simulation training

Kotecha, J., Edwards-Bailey, A., Hollingworth, M., Abbas, A., Weir, P., Eghbal, A., Dapaah, A., & Howarth, S. P. S. (2026) · British Journal of Neurosurgery · doi:10.1080/02688697.2026.2620411 · Cited by 1 · see citing works

Simulation training in spinal endoscopic surgery: a systematic review of current status

Garcia, G. P. R., Alotaibi, A., Yousefi, O., Shahbandi, A., Ghamasaee, P., Kassab, A. M. Y., Bokhari, R. F. Y., Abd‐El‐Barr, M. M., Shabani, S., & Bakhaidar, M. (2026) · Neurosurgical Review · doi:10.1007/s10143-026-04191-3 · Cited by 2 · see citing works

Simulation in Operative Neurosurgery: Past, Present, and Future

Jozsa, F., Davids, J., Horsfall, H. L., & Marcus, H. J. (2022) · Springer eBooks · doi:10.1007/978-3-031-02078-0_29 · Cited by 1 · see citing works

Training in Endoscopic Endonasal Neurosurgical Procedures: A Systematic Review of Available Models

Porto, E., Rodas, A., Sun, H., Barbero, J. M. R., Cosgrove, M., Tariciotti, L., Perin, A., Zada, G., DiMeco, F., Solares, C. A., et al. (2024) · Journal of Neurological Surgery Part B Skull Base · doi:10.1055/a-2319-0425 · Cited by 1 · see citing works

Image Guided Interpedicular Screw Placement Simulation System for Training and Skill Evaluation. Proof of Concept

Osnaya, J. R. H., González-Carranza, V., de León, F. C.-P., Escamirosa, F. P., & Espinoza, D. L. (2024) · World Neurosurgery · doi:10.1016/j.wneu.2024.05.087 · Cited by 1 · see citing works

Re-visiting the impact of the first wave of COVID-19 on neurosurgical practice and training in a large UK neurosurgery unit: a retrospective review

Ali, A. M. E.-S., Tajsic, T., Khan, M. S., Irwin, G. H., Owen, N. E., Price, S. J., Mannion, R., Joannides, A. J., Hutchinson, P. J., Trivedi, R. A., et al. (2022) · NIHR Open Research · doi:10.3310/nihropenres.13237.1 · Cited by 1 · see citing works

AIM in Medical Education

Davids, J., Lam, K., Nimer, A., Giannarou, S., & Ashrafian, H. (2021) · Springer eBooks · doi:10.1007/978-3-030-58080-3_30-1

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Commentary: Associating Surgeon Feedback With Material Physical Properties in the Development Process of a Resective Epilepsy Surgery Simulator

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Ultra-Low-Cost Homemade Reusable Tumor Resection Model With Realistic Haptic Feedback and Photograph-Based Navigation for Neurosurgical Training

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Ethics and Simulation in Neurosurgery: The Twin Pillars of Modern Surgical Training

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Development and Validation of a Low-Cost 3DPrinted Cervical Simulator for Fluoroscopy-Guided Nerve Block TrainingPreprint

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TRAINING METHODS IN NEUROSURGERY - WHAT SOLUTIONS XXI CENTURY CAN OFFER?

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Simulator Training on Neurointerventional Skill Acquisition in Novices: A Pilot Study

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Ventilated and Perfused Whole-Body Donor Cadavers in a Simulated Operating Room for Low-Risk, High-Fidelity Neurosurgical Training: Practice Like It Is Real

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A multifaceted training approach for neurosurgery registrars incorporating cadaver-based simulation

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Bibliometric Analysis: Augmented Reality and Virtual Reality Adoption in Education Sector

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Enhancing Neurosurgical Training: A Comparative Study of Hybrid, Simulator-Based, and Body Donor-Based Dissection Courses

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Educational and Surgical Impact of the Far East Stroke Advanced Clinical/Observership Program at Teishinkai Hospital, Sapporo, in an Era of Declining Open Cerebrovascular Surgery

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