Cultural variation in trust and acceptability of artificial intelligence diagnostics for dementia

Digital health innovations hold diagnostic and therapeutic promise but may be subject to biases for underrepresented groups. We explored perceptions of using artificial intelligence (AI) diagnostics for dementia through a focus group as part of the Automated Brain Image Analysis for Timely and Equit...

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Bibliographic Details
Published inJournal of Alzheimer's disease Vol. 104; no. 3; pp. 653 - 655
Main Authors Chandra, Avinash, Senthilvel, Kaviya, Anjum, Rifah, Uchegbu, Ijeoma, Smith, Laura J, Beaumont, Helen, Punjabi, Reshma, Begum, Samina, Marshall, Charles R
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.04.2025
Subjects
Aged
Artificial Intelligence
Dementia - diagnosis
Dementia - diagnostic imaging
Dementia - ethnology
Dementia - psychology
Female
Focus Groups
Humans
Male
Middle Aged
Patient Acceptance of Health Care - ethnology
Trust - psychology
trust
diagnostics
health inequalities
dementia diagnosis
machine learning
Alzheimer's disease
artificial intelligence
acceptability
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Summary:Digital health innovations hold diagnostic and therapeutic promise but may be subject to biases for underrepresented groups. We explored perceptions of using artificial intelligence (AI) diagnostics for dementia through a focus group as part of the Automated Brain Image Analysis for Timely and Equitable Dementia Diagnosis (ABATED) study. Qualitative feedback from a diverse public engagement group indicated that cultural variations in trust and acceptability of AI diagnostics may be an unrecognised source of real-world inequity. Efforts focused on the adoption of AI diagnostics in memory clinic pathways should aim to recognise and account for this issue.
ISSN:1387-2877
1875-8908
DOI:10.1177/13872877251319353