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

Formative Evaluation of Digital Health Interventions (3602) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1859) Design and Formative Evaluation of Mobile Apps (844) mHealth for Rehabilitation (408) Games for Pain Management (57) Back Pain (150) Digital Pain Assessment and Management (269)

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 (2) 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