The AI tool identified people with kidney disease with 86% accuracy and predicted future cases with 78% accuracy. It even outperformed standard kidney tests by detecting risks that traditional tests missed.
Researchers believe this AI method could revolutionize kidney disease detection. By finding early signs through eye images, doctors could take action before kidney damage becomes severe.
Dr. Alexander Doney, who led the study, explained that the retina is the only place in the body where blood vessels can be clearly photographed. AI can detect tiny changes in these images that humans might miss, offering a new way to monitor organ health.
Dr. Elizabeth Robertson from Diabetes UK said this discovery could turn routine eye screenings into a powerful tool for detecting and preventing diabetes-related complications. She emphasized that early detection is key to saving lives and improving treatment.
Source: diabetes
