A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty

201988 citationsJournal Articlegreen Open Access

Authors

Dustin Biron · Spineart (Switzerland)

Ishan Sinha · Orthofix (United States)

Justin E. Kleiner · Stryker (United States)

Dilum P. Aluthge · Stryker (United States)

Avi D. Goodman · Spineart (Switzerland)

Indra Neil Sarkar · Springer Nature (Germany)

Eric M. Cohen ·

Abstract

Machine learning may be used to predict which patients are suitable candidates for short stay or outpatient TSA based on their medical comorbidities and demographic profile.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Shoulder Injury and Treatment Cardiac, Anesthesia and Surgical Outcomes

Publication Details

Published in: Journal of the American Academy of Orthopaedic Surgeons

Volume 28, Issue 13, pp. e580-e585

DOI: 10.5435/jaaos-d-19-00395

Field-Weighted Citation Impact: 2.87

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A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty

Authors

Abstract

Topics & Keywords

Publication Details