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

• Tác giả: Rifah Anjum, Helen Beaumont, Samina Begum, Avinash Chandra, Charles R Marshall, Reshma Punjabi, Kaviya Senthilvel, Laura J Smith, Ijeoma Uchegbu
• Ngôn ngữ: eng
• Ký hiệu phân loại: 553.5 Structural and sculptural stone
• Thông tin xuất bản: United States : Journal of Alzheimer's disease : JAD , 2025
• Bộ sưu tập: NCBI
• ID: 172299

Tóm tắt

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.