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Quantification of Robotic Surgeries with Vision-Based Deep Learning. (arXiv:2205.03028v1 [cs.RO])
Web: http://arxiv.org/abs/2205.03028
May 9, 2022, 1:11 a.m. | Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Jessica Nguyen, Christian Wagner, Animashree Anandkumar, Andrew J. Hung
cs.LG updates on arXiv.org arxiv.org
Surgery is a high-stakes domain where surgeons must navigate critical
anatomical structures and actively avoid potential complications while
achieving the main task at hand. Such surgical activity has been shown to
affect long-term patient outcomes. To better understand this relationship,
whose mechanics remain unknown for the majority of surgical procedures, we
hypothesize that the core elements of surgery must first be quantified in a
reliable, objective, and scalable manner. We believe this is a prerequisite for
the provision of surgical …
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