Longo, U.G.; Bandini, B.; Mancini, L.; Merone, M.; Schena, E.; de Sire, A.; D’Hooghe, P.; Pecchia, L.; Carnevale, A. Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models. Diagnostics 2025, 15, 1315. https://doi.org/10.3390/diagnostics15111315

AMA Style

Longo UG, Bandini B, Mancini L, Merone M, Schena E, de Sire A, D’Hooghe P, Pecchia L, Carnevale A. Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models. Diagnostics. 2025; 15(11):1315. https://doi.org/10.3390/diagnostics15111315

Chicago/Turabian Style

Longo, Umile Giuseppe, Benedetta Bandini, Letizia Mancini, Mario Merone, Emiliano Schena, Alessandro de Sire, Pieter D’Hooghe, Leandro Pecchia, and Arianna Carnevale. 2025. "Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models" Diagnostics 15, no. 11: 1315. https://doi.org/10.3390/diagnostics15111315

APA Style

Longo, U. G., Bandini, B., Mancini, L., Merone, M., Schena, E., de Sire, A., D’Hooghe, P., Pecchia, L., & Carnevale, A. (2025). Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models. Diagnostics, 15(11), 1315. https://doi.org/10.3390/diagnostics15111315

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