The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Emerging Robotic Platforms for Minimally Invasive Surgery
Abstract
Recent technological advances in surgery have resulted in the development of a range of new techniques that have reduced patient trauma, shortened hospitalization, and improved diagnostic accuracy and therapeutic outcome. Despite the many appreciated benefits of minimally invasive surgery (MIS) compared to traditional approaches, there are still significant drawbacks associated with conventional MIS including poor instrument control and ergonomics caused by rigid instrumentation and its associated fulcrum effect. The use of robot assistance has helped to realize the full potential of MIS with improved consistency, safety and accuracy. The development of articulated, precision tools to enhance the surgeon's dexterity has evolved in parallel with advances in imaging and human-robot interaction. This has improved hand-eye coordination and manual precision down to micron scales, with the capability of navigating through complex anatomical pathways. In this review paper, clinical requirements and technical challenges related to the design of robotic platforms for flexible access surgery are discussed. Allied technical approaches and engineering challenges related to instrument design, intraoperative guidance, and intelligent human-robot interaction are reviewed. We also highlight emerging designs and research opportunities in the field by assessing the current limitations and open technical challenges for the wider clinical uptake of robotic platforms in MIS.
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Citations
Cites
Evidence from Robot-Assisted Laparoscopic Radical Prostatectomy: A Systematic Review
Ficarra, V., Cavalleri, S., Novara, G., Aragona, M., & Artibani, W. (2007) · European Urology · doi:10.1016/j.eururo.2006.06.017 · Cited by 378
Vision-based Navigation in Image-Guided Interventions
Mirota, D. J., Ishii, M., & Hager, G. D. (2011) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124757 · Cited by 137
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The grand challenges of Science Robotics
Yang, G.-Z., Bellingham, J., Dupont, P. E., Fischer, P., Floridi, L., Full, R., Jacobstein, N., Kumar, V., McNutt, M., Merrifield, R., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aar7650 · Cited by 1,177
Self-citationFluid-driven origami-inspired artificial muscles
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Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey
Shi, C., Luo, X., Qi, P., Li, T., Song, S., Najdovski, Z., Fukuda, T., & Ren, H. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2622361 · Cited by 420
Application of artificial intelligence in surgery
Zhou, X.-Y., Guo, Y., Shen, M., & Yang, G.-Z. (2020) · Frontiers of Medicine · doi:10.1007/s11684-020-0770-0 · Cited by 181
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Metadata
- Authors
- Vitiello, V., Lee, S.-L., Cundy, T. P., & Yang, G.-Z.
- Venue
- IEEE Reviews in Biomedical Engineering
- Published
- 2013
- Volume
- 6
- Pages
- 111-126
- ISSN
- 1937-3333 (ISSN-L)
- 1941-1189
- OpenAlex
- W2083016933
- Cited by
- 457
- References
- 2
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vitiello, V., Lee, S.-L., Cundy, T. P., & Yang, G.-Z. (2013). Emerging Robotic Platforms for Minimally Invasive Surgery. IEEE Reviews in Biomedical Engineering. https://doi.org/10.1109/rbme.2012.2236311
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