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   ^{7, 8 *} , PhD ;   Jose A Moral-Munoz   ^{7, 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 MOVE-IT Research Group, Department of Nursing and Physiotherapy, Faculty of Health Sciences, University of Cádiz, Cádiz, Spain

⁷ Biomedical Research and Innovation Institute of Cádiz, Cádiz, Spain

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

*all authors contributed equally