aceThe German National Cohort: Ophthalmic Assessment, Baseline Profile, and Potential for Artificial Intelligence-Based Eye Research
Objective: To describe the ophthalmic examination protocol within the German National Cohort (NAKO)/NAKO Gesundheitsstudie, to report the baseline profile of participants undergoing ophthalmic assessment, and to illustrate the potential as a population-based resource for artificial intelligence (AI) research in eye health. Design: Baseline analysis of ophthalmic data within the nationwide, population-based multicenter prospective NAKO study. Participants: Forty-eight thousand four hundred and sixty adults in the…
Fundus images from about 50,000 adults in a nationwide cohort, paired with systemic health data, allowed standard deep learning models to predict age, sex and blood pressure, showing the dataset's value for building eye-health AI.
Only 68.2% of fundus images were judged gradable, and ocular disease prevalence was self-reported, which limits what the data can show about eye disease.
Evidence
- Peer-reviewedOphthalmology Science2026-09-11
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Truvace Impact Record TRV-2026-1889, v1: “The German National Cohort: Ophthalmic Assessment, Baseline Profile, and Potential for Artificial Intelligence-Based Eye Research.” Truvace, 2026-10-19. /record/TRV-2026-1889 (accessed at citation time). sha256 15d7a1a594befb4d…
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