2025/02/16 by Avinash Chandra, Kaviya Senthilvel, Rifah Anjum +6 · 1 voice
Health Professions · Medicine · #Artificial Intelligence in Healthcare and Education #Dementia and Cognitive Impairment Research #Patient-Provider Communication in Healthcare
paper · doi:10.1177/13872877251319353
openalex publication_date 2025/02/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/18
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.