Artificial intelligence in surgery: promises and perils

Hashimoto, Daniel A., Rosman, Guy, Rus, Daniela, Meireles, Ozanan R.·2018·Annals of Surgery

Cited by (1,000)

Items 401–500 of 1,000

  1. Breaking down the silos of artificial intelligence in surgery: glossary of terms
    Andrea Moglia, Konstantinos E. Georgiou, Luca Morelli, Konstantinos P. Toutouzas, Richard M. Satava, A. Cuschieri · 2022 · Surgical Endoscopy
  2. Computer-Assisted Differentiation between Colon-Mesocolon and Retroperitoneum Using Hyperspectral Imaging (HSI) Technology
    Nariaki Okamoto, María Rita Rodríguez Luna, Valentin Bencteux, Mahdi Al‐Taher, Lorenzo Cinelli, Éric Felli, Takeshi Urade, Richard Nkusi, Didier Mutter, Jacques Marescaux et al. · 2022 · Diagnostics
  3. Role of Trust in AI-Driven Healthcare Systems: Discussion from the Perspective of Patient Safety
    Mehmet Bilal Ünver, Onur Asan · 2022 · Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care
  4. Can artificial intelligence help decision-making in arthroscopy? Part 1: Use of a standardized analysis protocol improves inter-observer agreement of arthroscopic diagnostic assessments of the long head of biceps tendon in small rotator cuff tears
    Rayane Benhenneda, Thierry Brouard, Franck Dordain, François Gadéa, Christophe Charousset, Julien Berhouet · 2023 · Orthopaedics & Traumatology Surgery & Research
  5. Artificial intelligence and the orthopaedic surgeon: A review of the literature and potential applications for future practice: Current concepts
    Al-achraf Khoriati, Zuhaib Shahid, Margaret Woon Man Fok, Rachel M. Frank, Andreas Voß, Pieter P. R. N. d’Hooghe, Mohamed A. Imam · 2023 · Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine
  6. Ethical and legal issues regarding artificial intelligence (AI) and management of surgical data
    Alberto R. Ferreres · 2024 · European Journal of Surgical Oncology
  7. Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and Prospects
    M. S. Parinitha, Vidya Gowdappa Doddawad, Sowmya Halasabalu Kalgeri, Samyuka S. Gowda, Sahana Patil · 2024 · Journal of Medical Signals & Sensors
  8. Artificial intelligence in laparoscopic cholecystectomy: does computer vision outperform human vision?
    Runwen Liu, Jingjing An, Ziyao Wang, Jingye Guan, Jie Liu, Jingwen Jiang, Zhimin Chen, Hai Li, Bing Peng, Xin Wang · 2022 · Artificial Intelligence Surgery
  9. Artificial Intelligence and Extended Reality in the Training of Vascular Surgeons: A Narrative Review
    Joanna Halman, Sonia Tencer, Mariusz Siemiński · 2025 · Medical Sciences
  10. The Integration of Artificial Intelligence into Robotic Cancer Surgery: A Systematic Review
    Agnieszka Leszczyńska, Rafał Obuchowicz, Michał Strzelecki, Michał Seweryn · 2025 · Journal of Clinical Medicine
  11. The Advent of Artificial Intelligence in Diabetic Foot Medicine: A New Horizon, a New Order, or a False Dawn?
    Theodore Howard, Raju S. Ahluwalia, Νικόλαος Παπάνας · 2021 · The International Journal of Lower Extremity Wounds
  12. Long-term outcomes of upfront robotic rectal cancer surgery: a single-center, retrospective cohort study in Japan
    Shunsuke Kasai, Hiroyasu Kagawa, Akio Shiomi, Hitoshi Hino, Shoichi Manabe, Yusuke Yamaoka, Kai Chen, Kenji Nanishi, Chikara Maeda, Yusuke Kinugasa · 2023 · Surgery Today
  13. Barriers to the adoption of routine surgical video recording: a mixed-methods qualitative study of a real-world implementation of a video recording platform
    Kyle Lam, Catherine Simister, Andrew J. Yiu, James K. Kinross · 2024 · Surgical Endoscopy
  14. Development of a Model for Video-Assisted Postoperative Team Debriefing
    Anne Sophie H.M. van Dalen, Maartje van Haperen, J. A. Swinkels, Teodor Grantcharov, Marlies P. Schijven · 2020 · Journal of Surgical Research
  15. Video Commentary & Machine Learning: Tell Me What You See, I Tell You Who You Are
    Mohamed S. Baloul, Vicky J.-H. Yeh, Fareeda Mukhtar, Dhanya Ramachandran, Michael D. Traynor, Nizamuddin Shaikh, Mariela Rivera, David R. Farley · 2020 · Journal of surgical education
  16. A Clinical Perspective on the Automated Analysis of Reflectance Confocal Microscopy in Dermatology
    Joseph N. Mehrabi, Erica G. Baugh, Alexander Fast, Griffin R. Lentsch, Mihaela Balu, Bonnie A. Lee, Kristen M. Kelly · 2021 · Lasers in Surgery and Medicine
  17. An Experimental Safety Response Mechanism for an Autonomous Moving Robot in a Smart Manufacturing Environment Using Q-Learning Algorithm and Speech Recognition
    Kahiomba Sonia Kiangala, Zenghui Wang · 2022 · Sensors
  18. Augmented intelligence: A synergy between man and the machine
    Mahendra Bhandari, Madhu Reddiboina · 2019 · Indian Journal of Urology
  19. Diagnosis to dissection: AI’s role in early detection and surgical intervention for gastric cancer
    Tara Menon Pattilachan, Maria Christodoulou, Sharona B Ross · 2024 · Journal of Robotic Surgery
  20. AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
    Hyun Jin Yang, S. Shyam Sundar · 2025 · Computers in Human Behavior Artificial Humans
  21. Transforming emergency medicine with artificial intelligence: From triage to clinical decision support
    Nigil Kuttan, Aditya Pundkar, Charuta P Gadkari, Aniket Patel, Abhishek Kumar · 2025 · Multidisciplinary Reviews
  22. AI-Augmented autonomous telesurgery: defining the next frontier in intelligent remote surgery
    Murtaja Satea Shafeea · 2025 · Journal of Robotic Surgery
  23. The revolutionary impact of artificial intelligence in orthopedics: comprehensive review of current benefits and challenges
    Salar Baghbani, Yoosef Mehrabi, Mohammad Movahedinia, Erfan Babaei Nejad, Mohammad Amin Joshaghanian, Shayan Amiri, Mostafa Shahrezaee · 2025 · Journal of Robotic Surgery
  24. Artificial Intelligence and Robotics-Based Minimally Invasive Surgery
    Dr. Ranjit Barua, Sudipto Datta, Anwita Sarkar · 2023 · Advances in healthcare information systems and administration book series
  25. Revolutionizing Dental Imaging: A Comprehensive Study on the Integration of Artificial Intelligence in Dental and Maxillofacial Radiology
    Alekhya G iruvuri, Gouthami Miryala, Yusuf Khan, Nishaalini T Ramalingam, Bharath Sevugaperumal, Mrunmayee Soman, Aishwarrya Padmanabhan · 2023 · Cureus
  26. Implementation of Artificial Intelligence–Based Computer Vision Model for Sleeve Gastrectomy: Experience in One Tertiary Center
    Danit Dayan · 2024 · Obesity Surgery
  27. The geometric evolution of aortic dissections: Predicting surgical success using fluctuations in integrated Gaussian curvature
    Kameel Khabaz, Karen Yuan, Joseph A. Pugar, David Jiang, Seth T. Sankary, Sanjeev S. Dhara, Junsung Kim, Janet Kang, Nhung Nguyen, Kathleen D. Cao et al. · 2024 · PLoS Computational Biology
  28. Deep learning model for predicting postoperative survival of patients with gastric cancer
    Junjie Zeng, Dan Song, Kai Li, Fengyu Cao, Yongbin Zheng · 2024 · Frontiers in Oncology
  29. Adoption of blockchain as a step forward in orthopedic practice
    Giuseppe Rovere, Francesco Bosco, Angelo Miceli, Salvatore Ratano, Giuseppe Freddo, Lorenzo D’Itri, Massimo Ferruzza, Giulio Maccauro, Pasquale Farsetti, Lawrence K. C. Camarda · 2024 · European Journal of Translational Myology
  30. The Rise of Molecular Image–Guided Robotic Surgery
    Fijs W. B. van Leeuwen, Tessa Buckle, Matthias N. van Oosterom, Daphne D. D. Rietbergen · 2024 · Journal of Nuclear Medicine
  31. Computational Modeling, Augmented Reality, and Artificial Intelligence in Spine Surgery
    Meghana Bhimreddy, Kelly Jiang, Carly Weber-Levine, Nicholas Theodore · 2024 · Advances in experimental medicine and biology
  32. Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea
    Seung‐Seok Lee, Wu Seong Kang, Sang Hyun Seo, Dowan Kim, Hoon Ko, Joong Suck Kim, Seonghwa Lee, Jinseok Lee · 2022 · Journal of Medical Internet Research
  33. AI in Healthcare: medical and socio-economic benefits and challenges
    Mohammed Yousef Shaheen · 2021 · SSRN Electronic Journal
  34. Current Status and Role of Artificial Intelligence in Anorectal Diseases and Pelvic Floor Disorders
    Maryam A Aleissa, Tijani S. Osumah, Ernesto Raul Drelichman, Vijay K. Mittal, Jasneet Singh Bhullar · 2024 · JSLS Journal of the Society of Laparoscopic & Robotic Surgeons
  35. Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery
    Robert Vogel, Björn Mück · 2024 · Journal of Abdominal Wall Surgery
  36. Sensors and Psychomotor Metrics: A Unique Opportunity to Close the Gap on Surgical Processes and Outcomes
    Hossein Mohamadipanah, Kenneth H. Perrone, Katherine Peterson, Jay N. Nathwani, Felix C. Huang, Anna Garren, Margaret E. Garren, Anna K. Witt, Carla M. Pugh · 2020 · ACS Biomaterials Science & Engineering
  37. Using machine learning to preoperatively stratify prognosis among patients with gallbladder cancer: a multi-institutional analysis
    Garrett Cotter, Eliza Wright Beal, George A. Poultsides, Kamran Idrees, Ryan Courtney Fields, Sharon Marie Weber, Charles Raben Scoggins, Perry Shen, Christopher Lee Wolfgang, Shishir Kumar Maithel et al. · 2022 · HPB
  38. Machine learning as a new horizon for colorectal cancer risk prediction? A systematic review
    Oliver Kennion, Stuart Maitland, Richard R. W. Brady · 2022 · Health Sciences Review
  39. Machine learning driven prediction of cerebrospinal fluid rhinorrhoea following endonasal skull base surgery: A multicentre prospective observational study
    Adrito Das, Consortium, Cranial · 2023 · Frontiers in Oncology
  40. What We Are Missing: Using Machine Learning Models to Predict Vitamin C Deficiency in Patients with Metabolic and Bariatric Surgery
    Julie M. Parrott, Austen J Parrott, Armaun D. Rouhi, James Scott Parrott, Kristoffel R. Dumon · 2023 · Obesity Surgery
  41. Artificial Intelligence in Minimally Invasive Adrenalectomy: Using Deep Learning to Identify the Left Adrenal Vein
    Berke Şengün, Yalın İşcan, G. Ozbulak, Nida Kumbasar, Emre Eğriboz, İsmail Cem Sormaz, Nihat Aksakal, Sencer Melih Deniz, Mehmet Haklıdır, Fatih Tunca et al. · 2023 · Surgical Laparoscopy Endoscopy & Percutaneous Techniques
  42. Tool-tissue force segmentation and pattern recognition for evaluating neurosurgical performance
    Amir Baghdadi, Sanju Lama, Rahul Soloman Singh, Garnette Roy Sutherland · 2023 · Scientific Reports
  43. Defining Standard Values for FaceReader Facial Expression Software Output
    Agnes Q. Zhu, Thanapoom M. Boonipat, Sai Cherukuri, Uldis Bite · 2023 · Aesthetic Plastic Surgery
  44. Artificial intelligence in theranostics of gastric cancer, a review
    Yiqian Zha, Cuili Xue, Yanlei Liu, Jian Ni, Jesús M. de la Fuente, Daxiang Cui · 2023 · Medical Review
  45. Acceptance and understanding of artificial intelligence in medical research among orthopaedic surgeons
    Michael J. Ormond, Nick D. Clement, Ben Harder, Luke Farrow, Andrew Glester · 2023 · Bone & Joint Open
  46. Transforming Abdominal Wall Surgery With Generative Artificial Intelligence
    Julio M. Mayol · 2023 · Journal of Abdominal Wall Surgery
  47. Strengthening and Sustaining Health-Related Outcomes Through Digital Health Interventions
    Raj Kumar Goel, Shweta Vishnoi · 2023 · Journal of Engineering Science and Technology Review
  48. Ethics and regulations for AI in radiology
    Filippo Pesapane, Paul Eugene Summers · 2024 · Elsevier eBooks
  49. Artifical intelligence in surgery: ethical considerations in the light of social trends in the perception of health and medicine
    Heiner Fangerau · 2024 · EFORT Open Reviews
  50. Artificial intelligence: Reducing inconsistency in the surgical residency application review process
    Megan Markow, Mallory Jebbia, Bima J. Hasjim, Jeffry T. Nahmias, Areg Grigorian, Sigrid Katharine Burruss, Sebastian Dominik Schubl, Valery Vilchez, Kelly Fairbairn, Anthony H. Chau et al. · 2024 · The American Journal of Surgery
  51. Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures
    Alessandro Boaro, Alberto Azzari, Federica Basaldella, Sonia Nunes, Alberto Feletti, Manuele Bicego, Francesco Sala · 2024 · Computers in Biology and Medicine
  52. Utilizing Generative Text-to-Image Artificial Intelligence Models to Explore Race, Gender, and Age in Plastic and Aesthetic Surgery
    Maissa Trabilsy, Ariana Genovese, Srinivasagam Prabha, Sahar Borna, Cesar Abraham Gomez-Cabello, Syed Ali Haider, Cui Tao, Antonio J. Forte · 2025 · Aesthetic Surgery Journal
  53. Digital Health Primer for Cardiothoracic Surgeons
    Ronald D. Baxter, James I. Fann, John Michael DiMaio, Kevin W. Lobdell · 2020 · The Annals of Thoracic Surgery
  54. Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements
    Sai K. Devana, Akash A. Shah, Changhee Lee, Andrew R. Jensen, Edward Cheung, Mihaela van der Schaar, Nelson F. SooHoo · 2022 · Journal of Shoulder and Elbow Arthroplasty
  55. Artificial intelligence for decision support in surgical oncology - a systematic review
    Martin Wagner, A. Schulze, Michael Haselbeck-Köbler, Pascal Probst, Johanna M. Brandenburg, Eva Kalkum, Ali Majlesara, Ali Ramouz, Rosa Klotz, Felix Nickel et al. · 2022 · Artificial Intelligence Surgery
  56. AI-Driven Automation in a Human-Centered Cyber World
    Norris Lee Smith, Jirunya Teerawanit, Oussama H. Hamid · 2018 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  57. A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance
    Michelle S. Mathis, Tosin E. Badewa, Ruth N. Obiarinze, Linda T. Wilkinson, Colin A Martin · 2020 · Journal of Surgical Research
  58. AI in Healthcare: medical and socio-economic benefits and challenges
    Mohammed Yousef Shaheen · 2021
  59. Can ChatGPT outperform a neurosurgical trainee? a prospective comparative study.
    Williams, Simon C., Starup-Hansen, Joachim, Funnell, Jonathan P., Hanrahan, John Gerrard, Valetopoulou, Alexandra, Singh, Navneet, Sinha, Saurabh, Muirhead, William R., Marcus, Hani J. · 2025 · British Journal of Neurosurgery
  60. Smart technologies and digital innovations for improving perioperative patient safety: a review
    Saeid Amini Rarani · 2025 · Patient Safety in Surgery
  61. Position statement from the society of University surgeons, surgical education committee: Artificial intelligence in surgical training for medical students, residents, and fellows
    Divya Kewalramani, Randeep Singh Jawa, Colin A Martin, Ankush Gosain, Derrick C. Wan, Thomas K. Varghese, Genevieve Marie Boland, Sophie Y. Dream, Ziad C. Sifri, Kevin Patrick Mollen et al. · 2025 · Surgery
  62. Enhanced recovery after surgery (ERAS®) society guidelines for gynecologic oncology: 2026 update
    Gregg S Nelson, Alon D. Altman, Amy Metcalfe, Christina Fotopoulou, Jolyn Taylor, Gretchen Elizabeth Glaser, Jamie Nadine Bakkum-Gamez, Amanika Kumar, Larissa Alejandra Meyer, Rebecca Stone et al. · 2026 · Gynecologic Oncology
  63. Clinical Applications of Machine Learning for Urolithiasis and Benign Prostatic Hyperplasia: A Systematic Review
    David Bouhadana, Xing Han Lù, Jack W. Luo, Anis Assad, Claudia Deyirmendjian, Abbas Guennoun, David‐Dan Nguyen, Jethro C.C. Kwong, Bilal I. Chughtai, Dean Elterman et al. · 2022 · Journal of Endourology
  64. Applying artificial intelligence to big data in hepatopancreatic and biliary surgery: a scoping review
    K McGivern, Thomas M Drake, Stephen Richard Knight, James E. Lucocq, Miguel O. Bernabéu, Clark, Neil, Cameron J. Fairfield, Riinu Pius, Catherine A. Shaw, Sohan Seth et al. · 2023 · Artificial Intelligence Surgery
  65. Defining digital surgery: a SAGES white paper
    The SAGES Digital Surgery Working Group, Jawad Ali, Gene Yang, Courtney A. Green, Benjamin L. Reed, Amin Madani, Todd A. Ponsky, Jeffrey W. Hazey, Steven S. Rothenberg, Christopher M. Schlachta et al. · 2024 · Surgical Endoscopy
  66. Machine Learning Approach to Identify Case-Control Studies on ApoE Gene Mutations Linked to Alzheimer’s Disease in Italy
    Giorgia Francesca Saraceno, Diana Marisol Abrego-Guandique, Roberto Cannataro, Maria Cristina Caroleo, Erika Cione · 2024 · BioMedInformatics
  67. Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia
    Mahmood Alkhatieb, Abeer A Subke · 2024 · Cureus
  68. Assessing the potential role of ChatGPT in spine surgery research
    Isabel Herzog, Dhruv Mendiratta, Ashok Para, Ari R. Berg, Neil K. Kaushal, Michael J. Vives · 2024 · Journal of Experimental Orthopaedics
  69. Deep learning-based surgical phase recognition in laparoscopic cholecystectomy
    Hye Yeon Yang, Seung Soo Hong, J. J. Yoon, Bokyung Park, Youngno Yoon, Dai Hoon Han, Gi Hong Choi, Min-Kook Choi, Sung Hyun Kim · 2024 · Annals of Hepato-Biliary-Pancreatic Surgery
  70. Artificial intelligence in orthopaedic trauma
    Chuwei Tian, Yucheng Gao, Rui Chen, Shengbo Qin, Liu Shi, Yunfeng Rui · 2024 · EngMedicine
  71. Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS
    Diana Schneider, Wenke Liedtke, Andrea Diana Klausen, Myriam Lipprandt, Florian Funer, Tanja Bratan, Nils B. Heyen, Heike Aichinger, Martin Langanke · 2025 · Digital Health
  72. The Surgeon as Educator
    Edward D. Verrier · 2019 · Thoracic surgery clinics/Thorac. surg. clin.
  73. Digitalisierung in der Chirurgie
    Dirk Wilhelm, Michael Kranzfelder, Daniel Ostler, A. Stier, H. J. Meyer, Hubertus Feußner · 2019 · Der Chirurg
  74. Artificial intelligence-enhanced intraoperative neurosurgical workflow: current knowledge and future perspectives
    Leonardo Tariciotti, Paolo Palmisciano, Martina GIORDANO, Giulia REMOLI, Eleonora LACORTE, Giulio Bertani, Marco Locatelli, Francesco DIMECO, Valerio Maria Caccavella, Francesco PRADA · 2021 · Journal of Neurosurgical Sciences
  75. [The stellate ganglion blockade].
    V Hempel · 1993 · PubMed
  76. Security and Privacy in Machine Learning for IoHT and IoMT: A Review
    Rahul Priyadarshi, Mehdi Gheisari · 2024 · Preprints.org
  77. Surgery utilizing artificial intelligence technology: why we should not rule it out
    Hisashi Shinohara · 2022 · Surgery Today
  78. Global research landscape on artificial intelligence in arthroplasty: A bibliometric analysis
    Zhuo Ya Li, Zulipikaer Maimaiti, Jun Fu, Jiying Chen, Chi Xu · 2023 · Digital Health
  79. Implementation of artificial intelligence-based computer vision model in laparoscopic appendectomy: validation, reliability, and clinical correlation
    Danit Dayan, Nadav Dvir, Haneen Agbariya, Eran Nizri‏ · 2024 · Surgical Endoscopy
  80. Video-Based Performance Analysis in Pituitary Surgery—Part 1: Surgical Outcomes
    Danyal Zaman Khan, Chan Hee Koh, Adrito Das, Alexandra Valetopolou, JOHN GERRARD HANRAHAN, Hugo Layard Horsfall, Stephanie E Baldeweg, Sophia Bano, Anouk Borg, Neil Dorward et al. · 2024 · World Neurosurgery
  81. Artificial intelligence in robot-assisted radical prostatectomy: where do we stand today?
    Danny Darlington Carbin, A. Shah, V.R.M. Kusuma · 2024 · Journal of Robotic Surgery
  82. Detection of anatomic landmarks during laparoscopic cholecystectomy with the use of artificial intelligence—a systematic review of the literature
    Dimitrios Kehagias, Charalampos Lampropoulos, Aggeliki Bellou, Ioannis Kehagias · 2025 · Updates in Surgery
  83. Comparative Analysis of Open, Laparoscopic, and Robotic Pancreaticoduodenectomy: A Systematic Review of Randomized Controlled Trials
    Valentina Valle, Paraskevas Pakataridis, Tiziana Rita Lucia Marchese, Cecilia Ferrari, Filippos S. Chelmis, Iliana Nefeli Sorotou, Maria-Anna Gianniou, Aleksandra Dimova, Oleg Tcholakov, Benedetto Ielpo · 2025 · Medicina
  84. Esophageal atresia, Europe, and the future
    Benno Manfred Ure · 2018 · Journal of Pediatric Surgery
  85. Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery
    Anas Taha, Vincent Ochs, Leos N. Kayhan, Bassey Enodien, Daniel M. Frey, Lukas Krähenbühl, Stephanie Taha‐Mehlitz · 2022 · Medicina
  86. What can the metaverse do for urology?
    Carlo Gandi, Luigi Cosenza, Marco Campetella, Filippo Marino, Mauro Ragonese, Riccardo Bientinesi, Angelo Totaro, Marco Racioppi, Emilio Sacco · 2023 · Urologia Journal
  87. Concordance Study in Hepatectomy Recommendations Between Watson for Oncology and Clinical Practice for Patients with Hepatocellular Carcinoma in China
    Weiqi Zhang, Shuo Qi, Jiaming Zhuo, Sai Wen, Chihua Fang · 2020 · World Journal of Surgery
  88. Artificial Intelligence for Computer Vision in Surgery
    Daichi Kitaguchi, Yusuke Watanabe, Amin Madani, Daniel A. Hashimoto, Ozanan R. Meireles, Nobuyoshi Takeshita, Kensaku Mori, Masaaki Ito, on behalf of the Computer Vision in Surgery International Collaborative · 2021 · Annals of Surgery
  89. The Rise of Artificial Intelligence: Implications in Orthopedic Surgery
    Prannoy Paul · 2024 · Journal of Orthopaedic Case Reports
  90. A New Era in Surgical Research: The Evolving Role of Artificial Intelligence
    Watanabe, Akie, Wiseman, Sam M. · 2023 · The American Journal of Surgery
  91. Artificial intelligence and machine learning approaches for patient safety in complex surgery: a review
    Mohamed Mustaf Ahmed, Zhinya Kawa Othman, Uthman Okikiola Adebayo, Omar Kasimieh, Olalekan John Okesanya, Shuaibu Saidu Musa, Francesco Branda, Victor C. Cañezo, Edgar G. Cue, Don Eliseo Lucero‐Prisno · 2025 · Patient Safety in Surgery
  92. Reinventing Workplace Learning and Development: Envisaging the Role of AI
    Mohammad Faraz Naim · 2023 · Emerald Group Publishing Limited eBooks
  93. Developing the surgeon-machine interface: using a novel instance-segmentation framework for intraoperative landmark labelling
    Jay J. Park, Nehal Doiphode, Xiao Zhang, Lishuo Pan, Rachel Blue, Jianbo Shi, Vivek Buch · 2023 · Frontiers in Surgery
  94. Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis
    Negin Moghadasi, Misagh Piran, Stephen Baek, Rupa S. Valdez, Michael D. Porter, DeAndre A. Johnson, James H. Lambert · 2023 · IEEE Symposium Series on Computational Intelligence (SSCI)
  95. The usefulness of artificial intelligence in breast reconstruction: a systematic review
    Karla C. Maita, Francisco R. Ávila, Ricardo A. Torres‐Guzman, John Paul Garcia, Gioacchino D. De Sario Velasquez, Sahar Borna, Sally A. Brown, Clifton R. Haider, Olivia S. Ho, Antonio J. Forte · 2024 · Breast Cancer
  96. A Scientometric Worldview of Artificial Intelligence in Musculoskeletal Diseases Since the 21st Century
    Siyang Cao, Yihao Wei, Yaohang Yue, Deli Wang, Ao Xiong, Hui Zeng · 2024 · Journal of Multidisciplinary Healthcare
  97. Linked Color Imaging with Artificial Intelligence Improves the Detection of Early Gastric Cancer
    Youshen Zhao, Osamu Dohi, Tsugitaka Ishida, Naohisa Yoshida, Tomoko Ochiai, Hiroki Mukai, Mayuko Seya, Katsuma Yamauchi, Hajime Miyazaki, Hayato Fukui et al. · 2024 · Digestive Diseases
  98. Barriers and recommendations for the implementation of robot-assisted minimally invasive surgery in Africa
    Adebayo Feranmi Falola, Shivangi Singh, Upamanyu Das, Ayotemi Oluwagbemi, Rhoda Etta, Ademola Adetoyese Adeyeye · 2024 · Journal of Robotic Surgery
  99. Leveraging Artificial Intelligence for Personalized Rehabilitation Programs for Head and Neck Surgery Patients
    Gianluca Marcaccini, Ishith Seth, Jennifer Novo, Vicki McClure, Brett K. Sacks, Kaiyang Lim, Sally Ng, Roberto Cuomo, Warren M. Rozen · 2025 · Technologies
  100. Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education
    Jin Sup Jung · 2020 · Korean Medical Education Review