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Next-generation movement-based physical rehabilitation through artificial intelligence-driven immersive virtual reality: a brief perspective

  • Martine Bordeleau
  • , Hannah Derue
  • , David R. Labbé
  • , Samory Houzangbe
  • , Maxime T. Robert
  • , Anouk Lamontagne
  • , Serge Marchand
  • , Guillaume Léonard
  • CIUSSS de l'Estrie-CHUS
  • Université de Sherbrooke
  • McGill University
  • Centre Hospitalier de L'Universite de Montreal
  • Centre Hospitalier Universitaire Sainte-Justine
  • University of Montreal
  • Université Laval
  • CRIR

Résultats de recherche: Contribution à un journal › Article publié dans une revue, révisé par les pairs › Revue par des pairs

Résumé

This perspective article explores the current challenges and future potential of artificial intelligence (AI)-assisted immersive virtual reality (VR) for clinical applications in movement-based physical rehabilitation. It highlights the limitations of current immersive VR and introduces AI as a potential solution to improve the overall VR experience, particularly in the context of physical rehabilitation. AI’s role in content creation, personalizing clinical interventions, achieving the right balance between challenge and flow (where tasks are difficult enough to stay engaging but not so hard that they cause frustration), and optimizing sensory experiences in VR environments is discussed. In addition, the article highlights how AI-driven brain-computer interfaces, motion synthesis techniques, and personalized therapeutic immersive experiences can make VR more engaging and effective in enhancing physical rehabilitation outcomes. Finally, we examine the challenges associated with integrating AI and VR systems in physical rehabilitation, including financial, ethical, and user-related barriers that must be addressed to ensure effective and responsible implementation.

langue originaleAnglais
Numéro d'article1760132
journalFrontiers in Virtual Reality
Volume7
Les DOIs
étatPublié - 2026

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