The result? When the AI tool was used, an estimated 1.59 patients an hour received what was deemed a high-quality visit, versus 1.14 in the control group, wrote Digital Diagnostics founder Michael Abramoff and his coauthors in an article published in October in Nature’s npj Digital Medicine journal. In the Bangladesh study, researchers tracked the productivity of a retina clinic whose patients with diabetes were randomly assigned to the AI or the control group. In 2020, the giant US Medicare health program agreed to pay for use of the device in primary care offices. In 2018, it was the first AI-driven device to gain US Food and Drug Administration (FDA) clearance to check for diabetic retinopathy. This product already has an impressive track record. The system uses a special kind of camera designed to capture images of the eyes and evaluates them with AI. In this study, the nonprofit Orbis International, which seeks to address preventable causes of blindness, and local physicians used the LumineticsCore system, from Coralville, Iowa-based Digital Diagnostics. Some already use AI to spot early signs of disease quickly, as recently reported in a study done in Rangpur, Bangladesh. It’s easy to imagine the potential for artificial intelligence (AI) to help people around the world live healthier lives. Artificial intelligence shows promise in medicine, but there are recognized drawbacks and risks
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