The Future of Artificial Intelligence in Sports Medicine and Return to Play

Semin Musculoskelet Radiol 2024; 28: 203-212 DOI: 10.1055/s-0043-1778019Artificial intelligence (AI) has shown tremendous growth over the last decade, with the more recent development of clinical applications in health care. The ability of AI to synthesize large amounts of complex data automatically allows health care providers to access previously unavailable metrics and thus enhance and personalize patient care. These innovations include AI-assisted diagnostic tools, prediction models for each treatment pathway, and various tools for workflow optimization. The extension of AI into sports medicine is still early, but numerous AI-driven algorithms, devices, and research initiatives have delved into predicting and preventing athlete injury, aiding in injury assessment, optimizing recovery plans, monitoring rehabilitation progress, and predicting return to play. [...] Thieme Medical Publishers, Inc. 333 Seventh Avenue, 18th Floor, New York, NY 10001, USAArticle in Thieme eJournals: Table of contents  |  Abstract  |  Full text
Source: Seminars in Musculoskeletal Radiology - Category: Radiology Authors: Tags: Review Article Source Type: research