Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care

Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, Abhishek Pratap
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	machine learning deep learning psychotherapy older adults technology depression Psychiatry RC435-571
Acceso en línea:	https://doaj.org/article/455f237f3c4249fab7e834c4a3726e66
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:455f237f3c4249fab7e834c4a3726e66
record_format	dspace
spelling	oai:doaj.org-article:455f237f3c4249fab7e834c4a3726e662021-11-15T06:42:56ZArtificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care1664-064010.3389/fpsyt.2021.734909https://doaj.org/article/455f237f3c4249fab7e834c4a3726e662021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.734909/fullhttps://doaj.org/toc/1664-0640Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists and engineers and runs the risk of being disconnected from pragmatic issues in clinical practice. This interprofessional perspective bridges the experiences of clinical scientists and data science. We provide a brief overview of AI with the main focus on possible applications and challenges of using AI-based approaches for research and clinical care in geriatric mental health. We suggest future AI applications in geriatric mental health consider pragmatic considerations of clinical practice, methodological differences between data and clinical science, and address issues of ethics, privacy, and trust.Brenna N. RennMatthew SchurrOleg ZaslavskyAbhishek PratapAbhishek PratapAbhishek PratapAbhishek PratapFrontiers Media S.A.articlemachine learningdeep learningpsychotherapyolder adultstechnologydepressionPsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	machine learning deep learning psychotherapy older adults technology depression Psychiatry RC435-571
spellingShingle	machine learning deep learning psychotherapy older adults technology depression Psychiatry RC435-571 Brenna N. Renn Matthew Schurr Oleg Zaslavsky Abhishek Pratap Abhishek Pratap Abhishek Pratap Abhishek Pratap Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
description	Artificial intelligence (AI) in healthcare aims to learn patterns in large multimodal datasets within and across individuals. These patterns may either improve understanding of current clinical status or predict a future outcome. AI holds the potential to revolutionize geriatric mental health care and research by supporting diagnosis, treatment, and clinical decision-making. However, much of this momentum is driven by data and computer scientists and engineers and runs the risk of being disconnected from pragmatic issues in clinical practice. This interprofessional perspective bridges the experiences of clinical scientists and data science. We provide a brief overview of AI with the main focus on possible applications and challenges of using AI-based approaches for research and clinical care in geriatric mental health. We suggest future AI applications in geriatric mental health consider pragmatic considerations of clinical practice, methodological differences between data and clinical science, and address issues of ethics, privacy, and trust.
format	article
author	Brenna N. Renn Matthew Schurr Oleg Zaslavsky Abhishek Pratap Abhishek Pratap Abhishek Pratap Abhishek Pratap
author_facet	Brenna N. Renn Matthew Schurr Oleg Zaslavsky Abhishek Pratap Abhishek Pratap Abhishek Pratap Abhishek Pratap
author_sort	Brenna N. Renn
title	Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
title_short	Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
title_full	Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
title_fullStr	Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
title_full_unstemmed	Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
title_sort	artificial intelligence: an interprofessional perspective on implications for geriatric mental health research and care
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/455f237f3c4249fab7e834c4a3726e66
work_keys_str_mv	AT brennanrenn artificialintelligenceaninterprofessionalperspectiveonimplicationsforgeriatricmentalhealthresearchandcare AT matthewschurr artificialintelligenceaninterprofessionalperspectiveonimplicationsforgeriatricmentalhealthresearchandcare AT olegzaslavsky artificialintelligenceaninterprofessionalperspectiveonimplicationsforgeriatricmentalhealthresearchandcare AT abhishekpratap artificialintelligenceaninterprofessionalperspectiveonimplicationsforgeriatricmentalhealthresearchandcare AT abhishekpratap artificialintelligenceaninterprofessionalperspectiveonimplicationsforgeriatricmentalhealthresearchandcare AT abhishekpratap artificialintelligenceaninterprofessionalperspectiveonimplicationsforgeriatricmentalhealthresearchandcare AT abhishekpratap artificialintelligenceaninterprofessionalperspectiveonimplicationsforgeriatricmentalhealthresearchandcare
_version_	1718428549175574528

Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care

Ejemplares similares