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

Daniel Velazquez-Diaz   1, 2 * , PhD ;   Juan E Arco   3, 4, 5 * , PhD ;   Andres Ortiz   3, 4 * , Prof Dr, PhD ;   Verónica Pérez-Cabezas   6, 7 * , PhD ;   David Lucena-Anton   6, 8 * , PhD ;   Jose A Moral-Munoz   6, 8 * , PhD ;   Alejandro Galán-Mercant   6, 7 * , PhD

1 ExPhy Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Cádiz, Spain

2 Advent Health Research Institute, Neuroscience Institute, Orlando, FL, United States

3 Department of Communications Engineering, University of Malaga, Málaga, Spain

4 Andalusian Research Institute in Data Science and Computational Intelligence, Granada, Spain

5 Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain

6 Biomedical Research and Innovation Institute of Cádiz, Cádiz, Spain

7 MOVE-IT Research Group, Department of Nursing and Physiotherapy, Faculty of Health Sciences, University of Cádiz, Cádiz, Spain

8 Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, University of Cadiz, Cádiz, Spain

*all authors contributed equally

Corresponding Author:

  • Verónica Pérez-Cabezas, PhD
  • MOVE-IT Research Group, Department of Nursing and Physiotherapy
  • Faculty of Health Sciences
  • University of Cádiz
  • Ana de Viya, 52
  • Cádiz, 11003
  • Spain
  • Phone: 34 676 719 119
  • Email: veronica.perezcabezas@uca.es