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

Digital Health Reviews (1291) Machine Learning (1471) Decision Support for Health Professionals (1191) Artificial Intelligence (1377) mHealth for Screening (213) Falls Prevention in the Elderly (69) Development and Evaluation of Research Methods, Instruments and Tools (488) Methodological Innovations (25)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54934, first published .
The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review

The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review

The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review

Authors of this article:

Ana González-Castro1 Author Orcid Image ;   Raquel Leirós-Rodríguez2 Author Orcid Image ;   Camino Prada-García3 Author Orcid Image ;   José Alberto Benítez-Andrades4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Alsaleh H, Alsaad S, Alabdulwahab S, Vennu V, Bindawas S. Fall Prevention in Older Adults: Insights from Saudi Arabian Physical Therapists on the Otago Exercise Program. Risk Management and Healthcare Policy 2024;Volume 17:2689 View