Summary:
- This study utilizes deep learning models to analyze retinal fundus images for the early detection and risk stratification of chronic kidney disease (CKD).
- The research demonstrates that retinal vascular biomarkers can serve as non-invasive, digital proxies for renal health, potentially revolutionizing clinical screening protocols.
- The findings suggest that integrating artificial intelligence with standard ocular imaging provides a scalable, cost-effective tool for improving patient outcomes in asymptomatic populations.