The present state-of-the-art surgical robotic systems though have a host of safety and failure systems still rely primarily on the surgeons-in-the-loop for safety amidst real-world uncertainties. Recent case studies involving surgical accidents and injuries have further increased the attention towards: (i) incorporating multiple levels of hard- and soft-safety and within their development stages, testing, validation and deployment; and (ii) objective based surgical skill assessment methodologies. We therefore would like to propose a feasible and effective method making use of the rich information content with automated-assists to make robotic surgeries smarter and safer. Specifically, in this paper we present our recent progress in video-based understanding to improve situational awareness, decision support and skill assessment aspects.
- Bioengineering Division
Video-Analytics for Enhancing Safety and Decision-Support in Surgical Workflows
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Kumar, S, Sathianarayanan, M, Garimella, S, Singhal, P, Corso, JJ, & Krovi, V. "Video-Analytics for Enhancing Safety and Decision-Support in Surgical Workflows." Proceedings of the ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. Washington, DC, USA. September 11–13, 2013. V001T10A020. ASME. https://doi.org/10.1115/FMD2013-16093
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