Duke University researchers created a computer program that determines, with 94% accuracy, if a person's age-related macular degeneration (AMD) will worsen within a year.
Algorithm aids in early detection of age-related eye disease medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.
New testing technology can accurately distinguish between a viral and a bacterial infection for respiratory illness, according to a new study proving feasibility.
The critical difference determines whether antibiotics are warranted. And, importantly, the test may provide results in under an hour.
When patients complain of coughing, runny nose, sneezing, and fever, doctors are often stumped because they have no fundamental tool to identify the source of the respiratory symptoms and guide appropriate treatments. The new technology could solve that problem.
“This is exciting progress,” says study lead Ephraim Tsalik, associate professor in the medicine and molecular genetics and microbiology departments at Duke University School of Medicine.
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At Duke, Future of Pathology Lies in AI
Researchers at Duke University have been merging artificial intelligence with health care to improve patient outcomes for the better part of two decades. From making cochlear implants deliver purer sounds to the brain to finding hidden trends within reams of patient data, the field spans a diverse range of niches that are now beginning to make real impacts.
Among these niches, however, there is one in which Duke researchers have always been at the leading edge-image analysis, with a broad team of researchers teaching computers to analyze images to unearth everything from various forms of cancer to biomarkers of Alzheimer’s disease in the retina.
DURHAM - Researchers at Duke University have been merging artificial intelligence with health care to improve patient outcomes for the better part of two