Editorial Commentary: Artificial Intelligence Models Using Machine Learning Can Improve Preoperative Identification of Subscapularis Pathology-Reference-Cited by-同舟云学术

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Editorial Commentary: Artificial Intelligence Models Using Machine Learning Can Improve Preoperative Identification of Subscapularis Pathology

Published:2024-04 Issue:4 Volume:40 Page:1056-1058
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:

Pruneski James A.^ORCID,Min Kyong S.^ORCID

Publisher

Elsevier BV

Reference20 articles.

1. The relative strengths of the rotator cuff muscles. A cadaver study;Keating;J Bone Joint Surg Br,1993

2. Subscapularis tears: Hidden and forgotten no more;Lee;JSES Open Access,2018

3. Accuracy of preoperative magnetic resonance imaging in predicting a subscapularis tendon tear based on arthroscopy;Adams;Arthroscopy,2010

4. The accuracy of magnetic resonance imaging and magnetic resonance arthrogram versus arthroscopy in the diagnosis of subscapularis tendon injury;Foad;Arthroscopy,2012

5. Accuracy of magnetic resonance imaging (MRI) for subscapularis tear: A systematic review and meta-analysis of diagnostic studies;Malavolta;Arch Orthop Trauma Surg,2019

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