Peer-Reviewed Publication
Diagnostics (Basel)2026;16(10)May 9, 2026Journal Article
Artificial Intelligence in Sports Medicine: A Decision-Centered Framework for the Future Sports Physician.
Stefano Palermi1, Rita Pucciatti1, Nor-Eddine Regnard2,3, Ali Guermazi4, Fabiano Araujo5, Andrea Demeco6, Yosra Mekki7, Giuseppe D'Antona8, Alessia Guarnera1, Simone Cerciello1, Matteo Guzzini1, Marco Vecchiato9,10
1Departmental Faculty of Medicine and Surgery, UniCamillus-Saint Camillus International University of Health Sciences, 00187 Rome, Italy.
2Gleamer, 75010 Paris, France.
3Réseau d'Imagerie Sud Francilien, Clinique du Mousseau Ramsay Santé, 91042 Evry, France.
4Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA 02130, USA.
5FCA Consulting Services, Belo Horizonte 30180-106, MG, Brazil.
6Physical and Rehabilitative Medicine, Department of Medical and Surgical Sciences, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.
7College of Medicine, Qatar University, QU Health, Doha P.O. Box 2713, Qatar.
8Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.
9Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy.
10Department of Theoretical and Applied Sciences, eCampus University, Novedrate, 22060 Como, Italy.
Abstract
Background: Artificial intelligence (AI) is rapidly transforming healthcare, with increasing applications in sports medicine. Advances in machine learning, deep learning, and computer vision enable the analysis of large, heterogeneous datasets derived from imaging, wearable sensors, performance-monitoring systems, and electronic health records. While these technologies offer opportunities to enhan…
Create a free account to keep reading
Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.
Want unlimited research access? See Pro plans