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Abstract Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanced, SDS can help to unlock augmented and automated coaching, feedback, assessment, and decision support in surgery. We review major concepts in SDS and AI as applied to surgical education and surgical oncology.
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Thomas M. Ward
Harvard University
Pietro Mascagni
University of California, San Francisco
Amin Madani
University Health Network
Journal of Surgical Oncology
Centre National de la Recherche Scientifique
Massachusetts General Hospital
Istituti di Ricovero e Cura a Carattere Scientifico
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Ward et al. (Sat,) studied this question.
synapsesocial.com/papers/69978075d88196e02d82029e — DOI: https://doi.org/10.1002/jso.26496