Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
CDC reports show Ohio's Parkinson's death rate among adults 65 and older was lower than Utah's 102.1 per 100,000 but remains ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
3d
Scientists develop AI that detects pancreatic cancer years before diagnosis in a major breakthrough
Researchers at Mayo Clinic have developed an artificial intelligence (AI) system that could transform how pancreatic cancer ...
Could pigeons help fight cancer? Researchers say these birds' remarkable ability to recognise medical image patterns may one day support doctors and smarter AI systems.
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Using the body's own sounds to diagnose Alzheimer's and Parkinson's before the first symptoms appear
Long before the telltale signs of Parkinson's disease appear, including tremors and muscle stiffness, there are other, more subtle signs of the disease. These include changes in oral pronunciation and ...
Background/Aims Support vector machine-based automated grading (known as iGradingM) has been shown to be safe, cost-effective and robust in the diabetic retinopathy (DR) screening (DES) programme in ...
Summary: Researchers are transforming the “window to the soul” into a window for diagnosis. By using polarized light to image protein deposits in the retina, the team can now distinguish between ...
A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results