Retinal Artificial Intelligence‐based Model Identifies Non‐demented Elderly Subjects at Risk of Alzheimer's Disease
RetinAD identified non-demented elderly who had worse retinal microvasculopathy and biologically older brains. Findings suggested that RetinAD may be able to identify elderly subjects who are at risk of developing AD dementia in the future.
Authors
- Hyun‐Jeong Ko (ORCID: https://orcid.org/0000-0002-3844-928X)
- Huijing Zheng (ORCID: https://orcid.org/0009-0007-8305-300X)
- C. S.K. CHEUNG
- Y. M. Harry Ng
- Alexander Yl Lau
- A. C. L. Lam
- Vincent C.T. Mok
- Lisa WC Au
- Bonnie Y.K. Lam
- Ha Ying Chiu
- Anran Ran
- Xiaoyan Hu
Institutions
- Chinese University of Hong Kong (HK)
- Australian Alzheimer’s Research Foundation (AU)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_098859
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00