Premium
Surgical data science and artificial intelligence for surgical education
Author(s) -
Ward Thomas M.,
Mascagni Pietro,
Madani Amin,
Padoy Nicolas,
Perretta Silvana,
Hashimoto Daniel A.
Publication year - 2021
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.26496
Subject(s) - coaching , quality (philosophy) , medicine , computer science , medical physics , psychology , philosophy , epistemology , psychotherapist
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.