Accessibility settings

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56176, first published .
Woman doing a fitness exercise with a digital overlay, tracked by a smartphone.

Clinical Efficacy of Multimodal Exercise Telerehabilitation Based on AI for Chronic Nonspecific Low Back Pain: Randomized Controlled Trial

Clinical Efficacy of Multimodal Exercise Telerehabilitation Based on AI for Chronic Nonspecific Low Back Pain: Randomized Controlled Trial

Journals

  1. Ouendi N, Wallard L, Dervaux B, Pudlo P, Avril E. Use of telerehabilitation by clinicians: barriers and levers to its adoption in clinics. Disability and Rehabilitation: Assistive Technology 2025:1 View
  2. Liu S, Chen X, Liu D, Lin C, Chen Y, Cai S. Mobile-Based Digital Rehabilitation Program for Patients After Anterior Cervical Discectomy and Fusion: Prospective Cohort Study. JMIR Rehabilitation and Assistive Technologies 2025;12:e60717 View
  3. Rodríguez-Bagó M, Martínez-Martínez J, González González J, Sampere-Valero M, Ronda-Pérez E. Integrating artificial intelligence in physical therapy: a quasi-experimental study comparing conventional treatment with a hybrid intervention using telerehabilitation for workers with whiplash syndrome. Informatics for Health and Social Care 2026;51(1):85 View
  4. Panfil A, Tamasan S, Vasilian C, Horhat R, Lungeanu D. Neuroception of Psychological Safety and Attitude Towards General AI in uHealth Context. Multimodal Technologies and Interaction 2025;10(1):4 View
  5. Yao Q, Qiu B, He L, Wang Q, Zou J, Liang D, Wen S, Liu Y, Li G, Hu J, Ma H, Huang G, Zeng Q. Effects of Artificial Intelligence Recognition–Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial. Journal of Medical Internet Research 2026;28:e81400 View
  6. Refaey M, Mousa N, Saleh O, Abdelmohsen A. Innovations and evidence in telerehabilitation for lumbar radiculopathy: evidence-based narrative review. Bulletin of Faculty of Physical Therapy 2026;31(1) View
  7. Abdalla N, El Arab R, Abdrbo A, Almari M, Ayoub M, Alsaaideh B, Dagamseh M, Almagharbeh W, Abuadas F, Abu Mahfouz M, Gaballah M. Artificial intelligence in rehabilitation: a review of clinical effectiveness, real-world performance, safety, and equity across modalities and settings. Frontiers in Digital Health 2026;8 View
  8. Jiang F, Huang H, Chen Y, Li X, Wei J, Wen J, Wang P, Long Y, Xiao C, Huang G. Cortical activity during cognitive and walking tasks in individuals with chronic nonspecific low back pain: a functional near-infrared spectroscopy study. Frontiers in Neuroscience 2026;20 View
  9. El Arab R, Al Moosa O, Almagharbeh W, Abuadas F, Abdalla N, Abdrbo A, Hassanein S. Artificial Intelligence in Physical, Occupational and Neuro-Rehabilitation: Clinical Effectiveness, Prognostic Performance, and Pre-Implementation Feasibility – A Systematic Review. Journal of Medical Systems 2026;50(1) View
  10. Xu X, Qu Q, Chen T, Shao X. Digital Health Engagement Regarding Lumbar Disc Herniation in Terms of Exercise Adherence: Integrating Variable-Centered and Person-Centered Perspectives. Patient Preference and Adherence 2026;Volume 20:1 View

Conference Proceedings

  1. Lalwani L, Bhayani A. 2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI). Artificial Intelligence in the Assessment of Range of Motion for Musculoskeletal Conditions During Telerehabilitation View