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Cited by 457

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

Vitiello, V., Su-Lin Lee, Cundy, T. P., Guang-Zhong Yang·2013·IEEE Reviews in Biomedical Engineering

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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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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CoChat. (2026). Citation check: Emerging Robotic Platforms for Minimally Invasive Surgery. https://app.cochat.ai/papers/10.1109/rbme.2012.2236311
The paper
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.