Published on in Vol 5, No 3 (2022): Jul-Sep
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/36872, first published
.

Journals
- Alves S, Temme S, Motamedi S, Kura M, Weber S, Zeichen J, Pommer W, Baumgart A. Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis. JMIR Aging 2024;7:e55681 View
- Raeder K, Strutz N, Kuntz S, Strube-Lahmann S, Schwesig R, Müller-Werdan U, Lahmann N. Using 3D skeleton tracking for gait analysis in older adults compared to a kinect-based mobility analysis system. BMC Geriatrics 2025;25(1) View
- Kang J, Zanotto A, Snyder M, Sosnoff J, Rice L. Clinicians’ perspectives on the usability and usefulness of an mHealth fall risk assessment for individuals who use wheelchairs: a pilot study. Disability and Rehabilitation: Assistive Technology 2025:1 View
- Luis U, Rodrigo M, Cristhian S, Mauricio S. Beyond timing: A critical review of the iTUG test and its implementation challenges for fall risk assessment in community-dwelling older adults. Health Policy and Technology 2026;15(3):101166 View
