Using machine learning methods to predict prolonged operative time in elective total shoulder arthroplasty.

Machine learning (ML) is a form of artificial intelligence in which computer algorithms improve automatically with experience. Recently, ML has been utilized to predict operative characteristics and patient outcomes for orthopedic procedures, thereby allowing for better patient selection and preoper...

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Bibliographic Details

Published in:	Seminars in Arthroplasty: JSES Vol. 32; no. 3; pp. 452 - 462
Main Authors:	Lopez, Cesar D., Constant, Michael, Anderson, Matthew JJ., Confino, Jamie E., Lanham, Nathan S., Jobin, Charles M.
Format:	research Journal Article
Published:	W B Saunders Sep2022
Online Access:	View this record in EBSCOhost