Key Points
An international team of researchers on Friday said that by leveraging Artificial Intelligence (AI) to analyse retinal images for cardiovascular risk assessment, they aim to bridge a crucial gap in early disease detection...
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...
The results of the case study highlight the importance of developing trustworthy AI models for assessing cardiovascular risk factors while addressing the challenges and problems that must be overcome prior to clinical adoption, as well as advancing reliable oculomics technology...
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