Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transferability.

Journal: JMIR formative research
PMID: 39727020

Abstract

BACKGROUND: Anxiety and depression represent prevalent yet frequently undetected mental health concerns within the older population. The challenge of identifying these conditions presents an opportunity for artificial intelligence (AI)-driven, remotely available, tools capable of screening and monitoring mental health. A critical criterion for such tools is their cultural adaptability to ensure effectiveness across diverse populations.

Authors

  • Alexandra Livia Georgescu
    thymia, International House, 64 Nile Street, London, N1 7SR, United Kingdom, 44 7477285252.
  • Nicholas Cummins
    Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
  • Emilia Molimpakis
    thymia, International House, 64 Nile Street, London, N1 7SR, United Kingdom, 44 7477285252.
  • Eduardo Giacomazzi
    Grupo Laços Saúde, Rio de Janeiro, Brazil.
  • Joana Rodrigues Marczyk
    Grupo Laços Saúde, Rio de Janeiro, Brazil.
  • Stefano Goria
    thymia, International House, 64 Nile Street, London, N1 7SR, United Kingdom, 44 7477285252.

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