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Surgical data science and artificial intelligence for surgical education
73
Zitationen
6
Autoren
2021
Jahr
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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Autoren
Institutionen
- Massachusetts General Hospital(US)
- Centre National de la Recherche Scientifique(FR)
- Agostino Gemelli University Polyclinic(IT)
- Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie(FR)
- Istituti di Ricovero e Cura a Carattere Scientifico(IT)
- Institut de Chirurgie Guidée par l'Image(FR)
- Université de Strasbourg(FR)
- University Health Network(CA)
- Institut de Recherche contre les Cancers de l’Appareil Digestif(FR)