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

Theme Issue (2023): AI and Human Factors—Towards Successful Application of AI in Health Care (14) Back Pain (123) Focus Groups and Qualitative Research for Human Factors Research (974) Usability of Apps and User Perceptions of mHealth (1059) mHealth for Rehabilitation (287) Design and Usability of Consumer Health Tech and Home Monitoring Devices (250) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1520) Innovations in Exercise Rehabilitation (231)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55716, first published .
An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial

An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial

An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial

Authors of this article:

Anna Marcuzzi1, 2 Author Orcid Image ;   Nina Elisabeth Klevanger1, 2 Author Orcid Image ;   Lene Aasdahl1, 3 Author Orcid Image ;   Sigmund Gismervik1 Author Orcid Image ;   Kerstin Bach4 Author Orcid Image ;   Paul Jarle Mork1 Author Orcid Image ;   Anne Lovise Nordstoga5 Author Orcid Image
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Journals

  1. Griefahn A, Avermann F, Zalpour C, Marshall R, Cordon Morillas I, Luedtke K. 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. JMIR Formative Research 2025;9:e57826 View