Machine learning for technical skill assessment in surgery: a systematic review

Abstract Accurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive, and subject to bias. Machine learning (ML) has the potential to provide rapid, automated, and reproducible feedback without...

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Bibliographic Details
Main Authors: Kyle Lam, Junhong Chen, Zeyu Wang, Fahad M. Iqbal, Ara Darzi, Benny Lo, Sanjay Purkayastha, James M. Kinross
Format: Article
Language:English
Published: Nature Portfolio 2022-03-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-022-00566-0