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

IF 3.1 3区 医学 Q2 NEUROSCIENCES Journal of Alzheimer's Disease Pub Date : 2025-04-01 Epub Date: 2025-02-16 DOI:10.1177/13872877251319353
Avinash Chandra, Kaviya Senthilvel, Rifah Anjum, Ijeoma Uchegbu, Laura J Smith, Helen Beaumont, Reshma Punjabi, Samina Begum, Charles R Marshall
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Abstract

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.

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人工智能诊断痴呆症的信任和可接受性的文化差异。
数字健康创新带来了诊断和治疗的希望,但可能会对代表性不足的群体产生偏见。作为及时和公平的痴呆症诊断自动脑图像分析(ABATED)研究的一部分,我们通过焦点小组探讨了使用人工智能(AI)诊断痴呆症的看法。来自不同公众参与小组的定性反馈表明,对人工智能诊断的信任和可接受性的文化差异可能是现实世界不平等的一个未被认识到的根源。专注于在记忆临床路径中采用人工智能诊断的努力应旨在识别和解释这一问题。
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来源期刊
Journal of Alzheimer's Disease
Journal of Alzheimer's Disease 医学-神经科学
CiteScore
6.40
自引率
7.50%
发文量
1327
审稿时长
2 months
期刊介绍: The Journal of Alzheimer''s Disease (JAD) is an international multidisciplinary journal to facilitate progress in understanding the etiology, pathogenesis, epidemiology, genetics, behavior, treatment and psychology of Alzheimer''s disease. The journal publishes research reports, reviews, short communications, hypotheses, ethics reviews, book reviews, and letters-to-the-editor. The journal is dedicated to providing an open forum for original research that will expedite our fundamental understanding of Alzheimer''s disease.
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