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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1121) Back Pain (89) mHealth for Rehabilitation (189) mHealth for Wellness, Behavior Change and Prevention (2459) Chatbots and Conversational Agents (265) Artificial Intelligence (827) Occupational Health and Ergonomics/Prevention at the Workplace (179) Innovations in Exercise Rehabilitation (188) Portable and Mobile Technologies for Rehabilitation (127)

Published on in Vol 9 , No 9 (2021) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27535, first published .
Effects of an Artificial Intelligence–Assisted Health Program on Workers With Neck/Shoulder Pain/Stiffness and Low Back Pain: Randomized Controlled Trial

Effects of an Artificial Intelligence–Assisted Health Program on Workers With Neck/Shoulder Pain/Stiffness and Low Back Pain: Randomized Controlled Trial

Effects of an Artificial Intelligence–Assisted Health Program on Workers With Neck/Shoulder Pain/Stiffness and Low Back Pain: Randomized Controlled Trial

Authors of this article:

Tomomi Anan 1, 2 Author Orcid Image ;   Shigeyuki Kajiki 1, 2, 3 Author Orcid Image ;   Hiroyuki Oka 4 Author Orcid Image ;   Tomoko Fujii 4 Author Orcid Image ;   Kayo Kawamata 4 Author Orcid Image ;   Koji Mori 1 Author Orcid Image ;   Ko Matsudaira 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

  1. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  2. Thompson D, Rattu S, Tower J, Egerton T, Francis J, Merolli M. Mobile app use to support therapeutic exercise for musculoskeletal pain conditions may help improve pain intensity and self-reported physical function: a systematic review. Journal of Physiotherapy 2023;69(1):23 View
  3. Itoh N, Mishima H, Yoshida Y, Yoshida M, Oka H, Matsudaira K. Evaluation of the Effect of Patient Education and Strengthening Exercise Therapy Using a Mobile Messaging App on Work Productivity in Japanese Patients With Chronic Low Back Pain: Open-Label, Randomized, Parallel-Group Trial. JMIR mHealth and uHealth 2022;10(5):e35867 View
  4. Hasan F, Mudey A, Joshi A. Role of Internet of Things (IoT), Artificial Intelligence and Machine Learning in Musculoskeletal Pain: A Scoping Review. Cureus 2023 View
  5. Barreveld A, Rosén Klement M, Cheung S, Axelsson U, Basem J, Reddy A, Borrebaeck C, Mehta N. An artificial intelligence-powered, patient-centric digital tool for self-management of chronic pain: a prospective, multicenter clinical trial. Pain Medicine 2023 View

Books/Policy Documents

  1. Mer A, Virdi A. The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part A. View
  2. Niwa M, Hara Y. Mobile Health (mHealth). View