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This paper is in the following e-collection/theme issue:

mHealth for Telemedicine and Homecare (566) Innovations in Exercise Rehabilitation (312) mHealth for Rehabilitation (388) Telerehabilitation (236) Back Pain (147) Technology in Physiotherapy (212) Artificial Intelligence (2363)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56176, first published .
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

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

Authors of this article:

Chongwu Xiao1, 2, 3, 4, 5 Author Orcid Image ;   Yijin Zhao1, 2 Author Orcid Image ;   Gege Li1, 2 Author Orcid Image ;   Zhuodong Zhang1, 2 Author Orcid Image ;   Siyu Liu6 Author Orcid Image ;   Weichao Fan1, 7 Author Orcid Image ;   Jinjing Hu1, 2 Author Orcid Image ;   Qiuru Yao1, 7 Author Orcid Image ;   Chengduan Yang1, 2 Author Orcid Image ;   Jihua Zou1, 2, 8 Author Orcid Image ;   Qing Zeng1, 2 Author Orcid Image ;   Guozhi Huang1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

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

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