Prediction of Retear After Arthroscopic Rotator Cuff Repair Based on Intraoperative Arthroscopic Images Using Deep Learning.

Journal: The American journal of sports medicine

PMID: 37565449

Abstract

BACKGROUND: It is challenging to predict retear after arthroscopic rotator cuff repair (ARCR). The usefulness of arthroscopic intraoperative images as predictors of the ARCR prognosis has not been analyzed.

Authors

Sung-Hyun Cho

Department of Artificial Intelligence, Chung-Ang University, 221, Heukseok-Dong, Dongjak-Gu, Seoul, Korea.
Yang-Soo Kim

Department of Orthopedic Surgery, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.

Keywords

Arthroscopy Cohort Studies Deep Learning Humans Magnetic Resonance Imaging Recurrence Retrospective Studies Rotator Cuff Rotator Cuff Injuries Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (37565449)

Prediction of Retear After Arthroscopic Rotator Cuff Repair Based on Intraoperative Arthroscopic Images Using Deep Learning.

Abstract

Authors

Keywords

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