Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review.

Background: Early identification and management of frailty are crucial, yet its detection in early stages remains difficult for clinicians. Artificial intelligence (AI) has emerged as a promising tool in healthcare. However, the absence of a standard frailty definition and diversity of AI methods cr...

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Detalles Bibliográficos
Publicado en:	Journal of the American Geriatrics Society Vol. 74; no. 7; pp. 2103 - 2115
Autores principales:	Dalsania, Kunal Ashok, Ménard, Alixe, Sundararaman, Shruthi, Rahgozar, Arya, de Lima, Sarah, Lu, Xintong, Al‐Ali, Aya, Singh, Krishnpriya, Hakimjavadi, Ramtin, Yan, Hui, Sethuram, Claire, Bergman, Howard, LaPlante, Jim, McIsaac, Daniel, Rahimi, Samira Abbasgholizadeh, Sourial, Nadia, Thandi, Manpreet, Wong, Sabrina, Liddy, Clare, Bandeen‐Roche, Karen
Formato:	Artículo
Publicado:	Wiley-Blackwell Jul2026
Materias:	Artificial intelligence Active aging Medical information storage & retrieval systems Random forest algorithms Research funding Grey literature Frail elderly Digital health Logistic regression analysis Descriptive statistics Wearable technology Natural language processing Systematic reviews MEDLINE Computer-aided diagnosis Artificial neural networks Early diagnosis Decision trees Psychology information storage & retrieval systems Biomarkers
Acceso en línea:	Ver este registro en EBSCOhost