Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models

Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models

<b>Objective</b>: This descriptive systematic review aimed to assess in the available literature on the current application and overall performance of Artificial Intelligence (AI) models in the diagnosis and classification of Rotator Cuff Tears (RCTs) using MRIs. <b>Methods</b&g...

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Bibliographic Details
Main Authors: Umile Giuseppe Longo, Benedetta Bandini, Letizia Mancini, Mario Merone, Emiliano Schena, Alessandro de Sire, Pieter D’Hooghe, Leandro Pecchia, Arianna Carnevale
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
artificial intelligence
MRI
rotator cuff
diagnosis
Online Access:https://www.mdpi.com/2075-4418/15/11/1315
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