Systematic Reviewmoderate evidence

Artificial Intelligence Models Based on Medical Imaging Achieve Accurate Detection of Rotator Cuff Tear and Initial Predictive Capability for Postoperative Outcomes: A Systematic Review.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association·October 9, 2026·PMID 42852970

Why it matters

Rotator cuff tears are common, and accurate imaging interpretation is critical for surgical decision-making. AI tools could standardize detection and reduce variability, especially among less experienced clinicians, while aiding preoperative counseling about retear risk.

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