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AI can analyse retinal images for cardiovascular risk: Researchers

When fundus images are of sufficient quantity and quality, it becomes possible to train AI systems to detect elevated HbA1c levels — an important marker for high blood sugar

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Image for representational purpose only. Photo Courtesy: istock

Image for representational purpose only. Photo Courtesy: istock

An international team of researchers on Friday said that by leveraging AI to analyse retinal images for cardiovascular risk assessment, they aim to bridge a crucial gap in early disease detection. 

A recent position paper in the Asia-Pacific Journal of Ophthalmology explores the transformative potential of AI in ophthalmology. The work represents a collaboration among researchers from Penn Engineering, Penn Medicine, the University of Michigan Kellogg Eye Center, St John Eye Hospital in Jerusalem, and Gyeongsang National University College of Medicine in Korea.

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