A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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An AI tool is trying to predict your risk of getting many diseases years in advance— here's how it works
Being able to instantly and accurately predict the trajectory of a person's health in the years to come has long been seen as the pinnacle of medicine. This kind of information would have a profound ...
Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer’s disease with nearly 93% accuracy.
FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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