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Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare

This study aimed to evaluate women’s attitudes towards artificial intelligence (AI)-based technologies used in mental health care. We conducted a cross-sectional, online survey of U.S. adults reporting female sex at birth focused on bioethical considerations for AI-based technologies in mental healt...

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Autores principales: Reading Turchioe, Meghan, Harkins, Sarah, Desai, Pooja, Kumar, Shiveen, Kim, Jessica, Hermann, Alison, Joly, Rochelle, Zhang, Yiye, Pathak, Jyotishman, Benda, Natalie C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329494/
https://www.ncbi.nlm.nih.gov/pubmed/37425486
http://dx.doi.org/10.1093/jamiaopen/ooad048
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author Reading Turchioe, Meghan
Harkins, Sarah
Desai, Pooja
Kumar, Shiveen
Kim, Jessica
Hermann, Alison
Joly, Rochelle
Zhang, Yiye
Pathak, Jyotishman
Benda, Natalie C
author_facet Reading Turchioe, Meghan
Harkins, Sarah
Desai, Pooja
Kumar, Shiveen
Kim, Jessica
Hermann, Alison
Joly, Rochelle
Zhang, Yiye
Pathak, Jyotishman
Benda, Natalie C
author_sort Reading Turchioe, Meghan
collection PubMed
description This study aimed to evaluate women’s attitudes towards artificial intelligence (AI)-based technologies used in mental health care. We conducted a cross-sectional, online survey of U.S. adults reporting female sex at birth focused on bioethical considerations for AI-based technologies in mental healthcare, stratifying by previous pregnancy. Survey respondents (n = 258) were open to AI-based technologies in mental healthcare but concerned about medical harm and inappropriate data sharing. They held clinicians, developers, healthcare systems, and the government responsible for harm. Most reported it was “very important” for them to understand AI output. More previously pregnant respondents reported being told AI played a small role in mental healthcare was “very important” versus those not previously pregnant (P = .03). We conclude that protections against harm, transparency around data use, preservation of the patient-clinician relationship, and patient comprehension of AI predictions may facilitate trust in AI-based technologies for mental healthcare among women.
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spelling pubmed-103294942023-07-09 Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare Reading Turchioe, Meghan Harkins, Sarah Desai, Pooja Kumar, Shiveen Kim, Jessica Hermann, Alison Joly, Rochelle Zhang, Yiye Pathak, Jyotishman Benda, Natalie C JAMIA Open Brief Communications This study aimed to evaluate women’s attitudes towards artificial intelligence (AI)-based technologies used in mental health care. We conducted a cross-sectional, online survey of U.S. adults reporting female sex at birth focused on bioethical considerations for AI-based technologies in mental healthcare, stratifying by previous pregnancy. Survey respondents (n = 258) were open to AI-based technologies in mental healthcare but concerned about medical harm and inappropriate data sharing. They held clinicians, developers, healthcare systems, and the government responsible for harm. Most reported it was “very important” for them to understand AI output. More previously pregnant respondents reported being told AI played a small role in mental healthcare was “very important” versus those not previously pregnant (P = .03). We conclude that protections against harm, transparency around data use, preservation of the patient-clinician relationship, and patient comprehension of AI predictions may facilitate trust in AI-based technologies for mental healthcare among women. Oxford University Press 2023-07-08 /pmc/articles/PMC10329494/ /pubmed/37425486 http://dx.doi.org/10.1093/jamiaopen/ooad048 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Communications
Reading Turchioe, Meghan
Harkins, Sarah
Desai, Pooja
Kumar, Shiveen
Kim, Jessica
Hermann, Alison
Joly, Rochelle
Zhang, Yiye
Pathak, Jyotishman
Benda, Natalie C
Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
title Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
title_full Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
title_fullStr Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
title_full_unstemmed Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
title_short Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare
title_sort women’s perspectives on the use of artificial intelligence (ai)-based technologies in mental healthcare
topic Brief Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329494/
https://www.ncbi.nlm.nih.gov/pubmed/37425486
http://dx.doi.org/10.1093/jamiaopen/ooad048
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