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Artificial intelligence: A tool for sports trauma prediction.

Georgios Kakavas1, Nikolaos Malliaropoulos2, Ricard Pruna3

  • 1Fysiotek Spine & Sports Lab, Athens, Greece.

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PubMed
Summary

Predicting sports injuries is crucial for athletes and teams. Artificial intelligence offers a promising approach to assess risks and forecast injury occurrence, improving athlete health and performance.

Keywords:
Artificial intelligenceBig dataGenesInjuryInjury riskMachine learningNeural networksPredictionReductionSports trauma

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Area of Science:

  • Sports Medicine
  • Biomechanical Engineering
  • Data Science in Sports

Background:

  • Sports injuries significantly impact athlete performance and incur substantial rehabilitation costs, particularly in professional soccer.
  • While some injury risk factors are known, a systematic evaluation of predictive statistical models for forecasting injuries is lacking.
  • The biological mechanisms underlying non-contact musculoskeletal soft tissue injuries and the influence of genetic factors on injury susceptibility and recovery remain poorly understood.

Purpose of the Study:

  • To address the gap in systematic evaluation of statistical models for sports injury forecasting.
  • To explore the potential of artificial intelligence in assessing injury risk and predicting injury occurrence in athletes.
  • To enhance understanding of factors influencing athlete health and performance stability.

Main Methods:

  • Review of existing literature on sports injury risk factors and predictive modeling.
  • Exploration of the application of artificial intelligence (AI) techniques in health risk assessment.
  • Conceptual framework for utilizing AI in sports injury prediction.

Main Results:

  • Current understanding of sports injury risk factors is preliminary, with a need for systematic evaluation of predictive models.
  • Biological mechanisms and genetic predispositions for injuries require further investigation.
  • The study proposes AI as a viable tool for enhancing sports injury risk assessment and prediction.

Conclusions:

  • Artificial intelligence holds significant potential for improving the prediction of sports injuries.
  • Further research into AI-driven predictive models can aid in mitigating injury impact on athletes and teams.
  • Integrating AI can lead to proactive strategies for maintaining athlete health and optimizing performance.