Automated task-level autonomy assessment in robotic surgery
Author:
Funder
Intuitive Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00464-024-11134-w.pdf
Reference7 articles.
1. Gerull KM, Loe M, Seiler K, McAllister J, Salles A (2019) Assessing gender bias in qualitative evaluations of surgical residents. Am J Surg 217:306–313. https://doi.org/10.1016/J.AMJSURG.2018.09.029
2. Clanahan JM, Yee A, Awad MM (2023) Active control time: an objective performance metric for trainee participation in robotic surgery. J Robot Surg. https://doi.org/10.1007/S11701-023-01628-5
3. Ward TM, Mascagni P, Ban Y, Rosman G, Padoy N, Meireles O, Hashimoto DA (2021) Computer vision in surgery. Surgery 169:1253–1256. https://doi.org/10.1016/J.SURG.2020.10.039
4. Berniker M, Bhattacharyya KD, Brown KC, Jarc A (2022) A probabilistic approach to surgical tasks and skill metrics. IEEE Trans Biomed Eng 69:2212–2219. https://doi.org/10.1109/TBME.2021.3139538
5. Luongo F, Hakim R, Nguyen JH, Anandkumar A, Hung AJ (2021) Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery. Surgery 169:1240–1244. https://doi.org/10.1016/J.SURG.2020.08.016
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