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

Formative Evaluation of Digital Health Interventions (5395) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2445) Design and Formative Evaluation of Mobile Apps (1024) mHealth for Rehabilitation (587) Games for Pain Management (73) Back Pain (175) Digital Pain Assessment and Management (327)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57826, first published .
Person on couch using smartphone to view home security camera feed on app

Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis

Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis

Authors of this article:

Annika Griefahn1, 2, 3 Author Orcid Image ;   Florian Avermann3 Author Orcid Image ;   Christoff Zalpour2 Author Orcid Image ;   Robert Percy Marshall4, 5 Author Orcid Image ;   Inés Cordon Morillas Author Orcid Image ;   Kerstin Luedtke1 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Stenzel J, Kopkow C, Bahns C. Use of Mobile Health Apps by Individuals with Hip and Knee Osteoarthritis in Germany. physioscience 2026;22(01):26 View
  2. 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
  3. Ramanujam K, Carneiro S, Helal M, Ramanujam V. The effectiveness of artificial intelligence-based interventions on treatment outcomes for low back pain: A systematic review and meta-analysis of randomized controlled trials. Journal of Back and Musculoskeletal Rehabilitation 2026 View
  4. Spasojevic T, Knezevic A. Beyond the Algorithm: A Critical and Evidence-Based Review of Artificial Intelligence in Chronic Pain Rehabilitation. Cureus 2026 View
  5. Griefahn A, Avermann F, Zalpour C, Marshall R. Cluster Analysis and Predictive Factors Influencing Physiotherapists’ Recommendations for Exercise Therapy for Musculoskeletal Pain. physioscience 2026 View
  6. Liu T, Choi H, Swaminathan S, Jeong H. AI-Driven Rehabilitation Systems for Supporting Motivation, Engagement, and Adherence: A Scoping Review (Preprint). JMIR Rehabilitation and Assistive Technologies 2025 View
  7. Campillos Lázaro M. Uso de la Inteligencia Artificial como Sistema de Apoyo a la Decisión Clínica en el Manejo del Dolor Lumbar Crónico. Una Revisión de Alcance con Componente Conceptual Aplicado. Invasive Physiotherapy and Musculoskeletal Medicine 2026;2(1):e25 View