Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives.

Journal: Brazilian journal of physical therapy
PMID: 38838418

Abstract

BACKGROUND: The development and application of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare have gained attention as a promising and powerful resource to change the landscape of healthcare. The potential of these technologies for injury prediction, performance analysis, personalized training, and treatment comes with challenges related to the complexity of sports dynamics and the multidimensional aspects of athletic performance.

Authors

  • Felipe J J Reis
    Department of Physical Therapy, Federal Institute of Rio de Janeiro, Rio de Janeiro, Brazil; Pain in Motion Research Group, Department of Physical Therapy, Human Physiology and Anatomy, Faculty of Physical Education & Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium; School of Physical and Occupational Therapy, McGill University, Montreal, Canada. Electronic address: felipe.reis@ifrj.edu.br.
  • Rafael Krasic Alaiti
    Nucleus of Neuroscience and Behavior and Nucleus of Applied Neuroscience, Universidade de Sao Paulo (USP), Sao Paulo, Brazil; Research, Technology, and Data Science Office, Grupo Superador, Sao Paulo, Brazil.
  • Caio Sain Vallio
    Health Innovation, Data Science, and MLOps Semantics, São Paulo, Brazil.
  • Luiz Hespanhol
    Department of Physical Therapy, Faculty of Medicine, University of Sao Paulo (USP), Sao Paulo, Brazil; Amsterdam Collaboration on Health & Safety in Sports, Department of Public and Occupational Health, Amsterdam Movement Sciences, Amsterdam University Medical Centers (UMC) location VU University Medical Center Amsterdam (VUmc), Amsterdam, the Netherlands.

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