The Application of Artificial Intelligence in Digital Physical Activity and Falls Prevention Interventions for Older Adults.
artificial intelligence
Journal
Journal of aging and physical activity
ISSN: 1543-267X
Titre abrégé: J Aging Phys Act
Pays: United States
ID NLM: 9415639
Informations de publication
Date de publication:
01 10 2023
01 10 2023
Historique:
received:
17
11
2022
revised:
02
01
2023
accepted:
01
02
2023
medline:
18
9
2023
pubmed:
21
4
2023
entrez:
20
04
2023
Statut:
epublish
Résumé
This article discusses the practical applications of artificial intelligence in digital physical activity and falls prevention interventions for older adults. It notes the range of technologies that can be used to collect digital datasets on older adult health and how machine learning algorithms can be applied to these to improve our understanding of physical activity and falls. In particular, these advanced computational techniques could help personalize exercises, feedback, and notifications to older people, improve adherence to and reduce attrition from digital health interventions, and enhance monitoring by providing predictive analytics on the physiological and environmental conditions that contribute to physical activity and falls in aging populations.
Identifiants
pubmed: 37080545
doi: 10.1123/japa.2022-0376
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM