WashU Medicine researchers develop AI system to interpret 3D retinal scans for faster disease diagnosis
By
Marta Wegorzewska
Hand-rolled, kettle-boiled, baked to perfection. Worth every minute at the bakery.
Summary
Researchers at WashU Medicine have developed an experimental AI system that interprets 3D images of the eye's retina to help diagnose retinal diseases faster. The AI analyzes non-invasive eye scans (OCT images) to detect signs of disease, potentially speeding up both clinical diagnosis and drug trials by providing more efficient analysis of retinal imaging data.
Key quotes
· 3 pulledNon-invasive eye scans allow doctors a zoomed-in, three-dimensional look beneath the eye's surface without causing discomfort or pain to the patient.
Programs that analyze eye images could also speed up drug trials, study finds.
Each 3D image of the retina is composed of hundreds of 2D slices.
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