A Machine Learning Model Demonstrates Excellent Performance in Predicting Subscapularis Tears Based on Pre-Operative Imaging Parameters Alone-Reference-Cited by-同舟云学术

A Machine Learning Model Demonstrates Excellent Performance in Predicting Subscapularis Tears Based on Pre-Operative Imaging Parameters Alone

Published:2023-09 Issue: Volume: Page:
ISSN:0749-8063
Container-title:Arthroscopy: The Journal of Arthroscopic & Related Surgery
language:en
Short-container-title:Arthroscopy: The Journal of Arthroscopic & Related Surgery

Author:

Oeding Jacob F.^ORCID,Pareek Ayoosh^ORCID,Nieboer Micah J.,Rhodes Nicholas G.,Tiegs-Heiden Christin A.,Camp Christopher L.^ORCID,Martin R. Kyle^ORCID,Moatshe Gilbert^ORCID,Engebretsen Lars^ORCID,Sanchez-Sotelo Joaquin^ORCID

Funder

Arthrex

American Shoulder and Elbow Surgeons

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine

Reference36 articles.

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4. Arthroscopic revision rotator cuff repair: The role of previously neglected subscapularis tears;Yoon;Am J Sports Med,2021

5. Techniques and tips for identification of comma tissue in subscapularis tears;Aiken;Arthrosc Tech,2020

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