A team of Google researchers has published a paper in the Journal of the American Medical Association showing that Google's deep learning algorithm, trained on a large data set of fundus images, can ...
Only a small proportion of patients with diabetes have undergone artificial intelligence (AI)–based screening for diabetic retinopathy since 2021, despite approval from the US Food and Drug ...
Smartphone-based retinal imaging captures postural vascular changes that may serve as early markers for diabetic retinopathy progression.
Share on Facebook. Opens in a new tab or window Share on Bluesky. Opens in a new tab or window Share on X. Opens in a new tab or window Share on LinkedIn. Opens in a new tab or window While artificial ...
Julie Rodman, OD, MS, FAAO, discusses how optical coherence tomography angiography (OCT-A) can be used to diagnose and manage diabetic retinopathy. Julie Rodman, OD, MS, FAAO, clinic chief at Nova ...
Fundoscopy can detect diabetic retinopathy. The exam involves a bright light shined into the eye, allowing an eye doctor to see any potential issues happening in the back of the eye. Share on ...
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AIIMS unveils MadhuNETrAI, India’s first fully validated AI app to detect diabetic retinopathy
In a significant move toward integrating artificial intelligence into preventive eye care, the All India Institute of Medical Sciences (AIIMS), along with the Union health ministry’s e-health division ...
Fundus photography involves taking a photo of the back of the eye to detect signs of diabetic retinopathy. It is also possible to capture an image of the retina using a smartphone. Diabetic ...
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