Retinal images provide data on optic nerves to diagnose conditions such as diabetic retinopathy, hypertension, and arteriosclerosis. The system also measures bone density via X-ray absorptiometry, which spots signs of bone loss. Deep learning combines these two sets of data for low-cost and non-invasive detection of cardiovascular diseases at an early stage.
The research will boost Qatar’s National Health Strategy 2018-2022, which aims to reduce the mortality rate caused by heart conditions by 15%. HBKU’s College of Science and Engineering promises to deliver precision medical solutions for the country through this innovative method.
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