Retinal Imaging Model Aids CAD Detection Fundus-based model showed moderate-to-good accuracy and improved performance when combined with clinical risk factors in a high-risk cohort By Andrea Surnit April 17, 2026 3 min MDSpire News Share Summary Takeaways Listen Insight Report Clinical Scorecard Quiz Poll 1 A retinal imaging model showed moderate-to-good discrimination for detecting coronary artery disease (CAD) in a study of 417 patients. 2 The combined model achieved an AUROC of 0.802, outperforming models based on clinical risk factors alone or retinal data alone. 3 Quantitative retinal parameters like fractal dimension and vessel density were independently associated with CAD after adjustment. 4 The model's higher sensitivity suggests it may better identify patients at increased risk of CAD than rule out the disease. 5 Further validation in larger, diverse populations is needed before the retinal imaging model can be widely applied in clinical settings.
