The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Autonomy for Surgical Robots: Concepts and Paradigms
Abstract
Robot-assisted and computer-integrated surgery provides innovative, minimally invasive solutions to heal complex injuries and diseases. The dominant portion of these surgical interventions has been performed with master-slave teleoperation systems, which are not capable of autonomous task execution or cognitive decision making. Much of the most advanced technologies foundered on the drawing boards or at the research labs for a long time, partially due to the fact that the surgical domain is resistant to the introduction of new hazards via the increased complexity of novel solutions. It has been seen with similar heavily regulated areas that internationally accepted standards can facilitate the adoption of new technologies in a safe manner. This paper reviews the existing autonomous capabilities of surgical robots, and investigates the major barriers of development presented by the lack of autonomy benchmarks and standards. The emerging safety standard environment is presented, as a key enabling factor to the commercialization of autonomous surgical robots. A practical scale is introduced to assess the level of autonomy of current and future surgical robots. Regarding the forthcoming robotic platforms, it is crucial to improve the transparency of the regulatory environment, streamline the standardization framework, and increase the social acceptance.
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Cites
Kassahun, Y., Yu, B., Tibebu, A. T., Stoyanov, D., Giannarou, S., Metzen, J. H., & Vander Poorten, E. (2016) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-015-1305-z · Cited by 238
Surgical Robotics: Systems Applications and Visions
(2011) · doi:10.1007/978-1-4419-1126-1 · Cited by 126
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Saeidi, H., Opfermann, J. D., Kam, M., Wei, S., Leonard, S., Hsieh, M. H., Kang, J. U., & Krieger, A. (2022) · Science Robotics · doi:10.1126/scirobotics.abj2908 · Cited by 384
Levels of autonomy in FDA-cleared surgical robots: a systematic review
Lee, A., Baker, T. S., Bederson, J. B., & Rapoport, B. I. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01102-y · Cited by 172
Designing robots that do no harm: understanding the challenges of Ethics for Robots
Hutler, B., Rieder, T. N., Mathews, D. J. H., Handelman, D. A., & Greenberg, A. M. (2024) · AI and Ethics · doi:10.1007/s43681-023-00283-8 · Cited by 16
(2021) · doi:10.1145/3461778.3461997 · Cited by 14
Metadata
- Authors
- Haidegger, T.
- Venue
- IEEE Transactions on Medical Robotics and Bionics
- Published
- 2019-05
- Volume
- 1
- Issue
- 2
- Pages
- 65-76
- ISSN
- 2576-3202 (ISSN-L)
- OpenAlex
- W2941276819
- Cited by
- 306
- References
- 2
- FWCI
- 11.61
- Type
- journal article
- Language
- en
- Open access
- closed
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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.