Early detection of mild cognitive impairment utilizing ocular biomarker-based risk scoring nomogram
This study developed and internally validated a dynamic, nomogram-based scoring tool for early detection of MCI that integrates non-invasive retinal and visual biomarkers. The model demonstrated high discriminative power and substantial clinical net benefit. Further evaluation of the model's prognostic value in predicting further cognitive decline may support its clinical utility.
Authors
- Wei Gao (ORCID: https://orcid.org/0000-0002-7889-1662)
- Mohammed Seid Hussen (ORCID: https://orcid.org/0000-0002-2733-3521)
- Henry Ho‐lung Chan (ORCID: https://orcid.org/0000-0002-8516-4711)
- Kai Yip Choi (ORCID: https://orcid.org/0000-0002-0443-3028)
- Bess Yin‐Hung Lam (ORCID: https://orcid.org/0000-0002-2778-3469)
- Liping Zhou (ORCID: https://orcid.org/0000-0002-0022-8334)
Institutions
- Hong Kong Polytechnic University (HK)
- Ningbo University of Technology (CN)
- Vision Eye Institute (AU)
- Hong Kong Shue Yan University (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3389/fnagi.2025.1669948
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Impact Fund
- Hong Kong Polytechnic University