Operational framework and training standard requirements for AI‐empowered robotic surgery
International Journal of Medical Robotics and Computer Assisted Surgery2019Vol. 16(5), pp. 1–13
Citations Over TimeTop 14% of 2019 papers
Shane O’Sullivan, Simon Léonard, Andreas Holzinger, Colin Allen, Fiorella Battaglia, Nathalie Nevejans, Fijs W. B. van Leeuwen, Mohammed Imran Sajid, Michael Friebe, Hutan Ashrafian, Helmut Heinsen, Dominic Wichmann, Margaret Hartnett, Anthony G. Gallagher
Abstract
We recommend "a procedure/skill template" for teaching AI that can be used by a surgeon. Similar existing methodologies show that when such a metric-based approach is used for training surgeons, cardiologists, and anesthetists, it results in a >40% error reduction in objectively assessed intraoperative procedures. The integration of Explainable AI and ML, and novel tissue characterization sensorics to tele-operated robotic-assisted procedures with medical imaged cadavers, provides robotic guidance and refines tissue classifications at a molecular level.
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