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

Digital Health Reviews (1318) Artificial Intelligence (1409) Machine Learning (1491) Big Data Analytics for Elder Care (23) Clinical Information and Decision Making (1426) Computer-Aided Diagnosis (134)

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 (6) Tweetations (6) Metrics

Journals

  1. Vahia I. Navigating New Realities in Aging Care as Artificial Intelligence Enters Clinical Practice. The American Journal of Geriatric Psychiatry 2024;32(3):267 View
  2. Clarnette R, Kostov I, Ryan J, Svendrovski A, Molloy D, O’Caoimh R. Predicting Outcomes in Frail Older Community-Dwellers in Western Australia: Results from the Community Assessment of Risk Screening and Treatment Strategies (CARTS) Programme. Healthcare 2024;12(13):1339 View
  3. Trott V, Holthaus M. Patient Education and Special Populations. Physician Assistant Clinics 2024;9(4):567 View
  4. Kim D. Unleashing frailty from laboratory into real world: A critical step toward frailty‐guided clinical care of older adults. Journal of the American Geriatrics Society 2024;72(11):3299 View
  5. Yamashita M, Kamiya K, Hotta K, Kubota A, Sato K, Maekawa E, Miyata H, Ako J. Artificial Intelligence (AI)-Driven Frailty Prediction Using Electronic Health Records in Hospitalized Patients With Cardiovascular Disease. Circulation Reports 2024;6(11):495 View
  6. Blaß M, Gimpel H, Karnebogen P. A Taxonomy and Archetypes of AI-Based Health Care Services: Qualitative Study. Journal of Medical Internet Research 2024;26:e53986 View