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June 13, 2026Technology and Health Care

From data to prevention: A systematic review of artificial intelligence applications in sports injury prediction

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Authors

CLChu‐Hsuan LeeMCMing-Hui ChangZLZheng-Hao Li

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Overview

Systematic review evaluates AI's effectiveness in predicting sports injuries, indicating areas for improvement.

Key Points

  • This study aims to systematically review empirical literature on AI and machine learning for predicting sports injuries.
  • Conducted a systematic search across multiple databases following PRISMA 2020 guidelines.
  • Screened 18 empirical studies published from January 2015 to March 2026 for qualitative synthesis.
  • Used the PROBAST tool to assess risk of bias in included studies.
  • Only one study (5.6%) had a low overall risk of bias; most showed high risk due to analysis weaknesses.
  • AI models handled multidimensional data but mainly used internal validation, limiting generalizability.
  • Evidence is constrained by inconsistent reporting, limited external validation, and overrepresentation of male cohorts.

Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf688faef96ed7f058335https://doi.org/10.1177/09287329261455797
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Application of Artificial Intelligence for Predicting Sports Injuries and Customizing Personalized Prevention Strategies: A Scoping Review2026 · 5 citations
  2. 2Beyond the conventional: Artificial intelligence in identifying risk factors in sports injuries. A scoping review2026 · 2 citations
  3. 3Artificial Intelligence in Sports Biomechanics: A Scoping Review on Wearable Technology, Motion Analysis, and Injury Prevention2025 · 106 citations
  4. 4Artificial intelligence in sports: A systematic review of performance and injury prevention2026
  5. 5Artificial intelligence and wearable technology in athlete load management and injury prediction: a systematic literature review2026