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

Web-based and Mobile Health Interventions (4371) mHealth for Wellness, Behavior Change and Prevention (3525) Physical Activity for Older People (315) Innovations and Technology for Physical Activity Education (994)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73145, first published .
Elderly woman in tree pose yoga, filmed on smartphone, promoting senior fitness.

A Smartphone Platform for Remote Motor Fitness Assessment and AI-Generated Personalized Exercise Programs for Older Adults: Randomized Controlled Trial

A Smartphone Platform for Remote Motor Fitness Assessment and AI-Generated Personalized Exercise Programs for Older Adults: Randomized Controlled Trial

Authors of this article:

Yael Netz1 Author Orcid Image ;   Salit Bar-Shalom1 Author Orcid Image ;   Esther Argov1 Author Orcid Image ;   Michal Arnon1 Author Orcid Image ;   Eti Benmoha1 Author Orcid Image ;   Ziv Yekutieli2 Author Orcid Image ;   Keren Tchelet Karlinsky2 Author Orcid Image ;   Jeremy M Jacobs3 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Cao J, Liu Y, Hu J, Zhai T, Pang Z, Li R, Dang F. Comparative efficacy of combined exercise and nutritional interventions for sarcopenia: A systematic review and network meta-analysis incorporating remote delivery models. Archives of Gerontology and Geriatrics 2026;147:106239 View
  2. Zhang H, Zhang H, Chen H, Liu J. Integrative research on technology-assisted physical activity and biological aging: a review of wearable sensors, tele-exercise platforms, and aging biomarkers. Frontiers in Medicine 2026;13 View
  3. Te T, Bui A, Speier W, Fung C. Clin‐STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics. Journal of the American Geriatrics Society 2026 View