A scoping review of applications of artificial intelligence in kinematics and kinetics of ankle sprains - current state-of-the-art and future prospects.

Journal: Clinical biomechanics (Bristol, Avon)
PMID: 38350282

Abstract

BACKGROUND: Despite the existence of evidence-based rehabilitation strategies that address biomechanical deficits, the persistence of recurrent ankle problems in 70% of patients with acute ankle sprains highlights the unresolved nature of this issue. Artificial intelligence (AI) emerges as a promising tool to identify definitive predictors for ankle sprains. This paper aims to summarize the use of AI in investigating the ankle biomechanics of healthy and subjects with ankle sprains.

Authors

  • Yun Xin Teoh
    Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
  • Jwan K Alwan
    Biomedical Informatics College/University of Information Technology and Communications (UOITC), Baghdad, Iraq.
  • Darshan S Shah
    Department of Mechanical Engineering, Indian Institute of Technology Bombay, Mumbai, India.
  • Ying Wah Teh
    Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Siew Li Goh
    Sports Medicine Unit, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.

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