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

Digital Health Reviews (1728) Artificial Intelligence (2138) Machine Learning (2080) Big Data Analytics for Elder Care (37) Clinical Information and Decision Making (1923) Computer-Aided Diagnosis (252)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47346, first published .
Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Authors of this article:

Daniel Velazquez-Diaz1, 2 Author Orcid Image ;   Juan E Arco3, 4, 5 Author Orcid Image ;   Andres Ortiz3, 4 Author Orcid Image ;   Verónica Pérez-Cabezas6, 7 Author Orcid Image ;   David Lucena-Anton7, 8 Author Orcid Image ;   Jose A Moral-Munoz7, 8 Author Orcid Image ;   Alejandro Galán-Mercant6, 7 Author Orcid Image
Article Authors Cited by (22) Tweetations (7) Metrics

Journals

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  11. Isaradech N, Sirikul W, Buawangpong N, Siviroj P, Kitro A. Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study. JMIR Aging 2025;8:e62942 View
  12. Ortiz-Navarro B, Losa-Reyna J, Mihaiescu-Ion V, Garcia-Romero J, Carrillo de Albornoz-Gil M, Galán-Mercant A. Identification of Target Body Composition Parameters by Dual-Energy X-Ray Absorptiometry, Bioelectrical Impedance, and Ultrasonography to Detect Older Adults With Frailty and Prefrailty Status Using a Mobile App in Primary Care Services: Descriptive Cross-Sectional Study. JMIR Aging 2025;8:e67982 View
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  17. Chen L. Transforming healthy aging strategies through precision health approaches. Archives of Gerontology and Geriatrics 2025;139:106030 View
  18. Christopher C, Pathak N, Babar Z, Shrestha S. Artificial Intelligence in Medication Management for Older Adults in Low‐ and Middle‐Income Countries: A Narrative Review. AGING MEDICINE 2025;8(5):458 View
  19. Pinto A, Pennisi F, Odelli S, De Ponti E, Veronese N, Signorelli C, Baldo V, Gianfredi V. Artificial Intelligence in the Management of Infectious Diseases in Older Adults: Diagnostic, Prognostic, and Therapeutic Applications. Biomedicines 2025;13(10):2525 View
  20. Sun Y, Liu W, Li D, Cen Z, Shen Y, Zhao T, Lu Z, Liu X, Xie X. Association between frailty and gout in middle-aged and older adults: A nationwide cross-sectional and Mendelian randomization study. Medicine 2025;104(45):e45794 View
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  22. Chen Z, Liu X, Li S, Wu Z, Tan H, Yu F, Wang D, Zhu C, Lin P. Diagnostic Accuracy of Artificial Intelligence to Identify Diabetic Foot Ulcers: A Systematic Review and Meta-Analysis. Journal of Tissue Viability 2025:100975 View