Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...
Morning Overview on MSN
Many AI disease-risk models trained on flawed health data
Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...
The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...
Bored Panda on MSN
47 things scientists suspect are true but are not yet proven as fact
We once believed the Earth was flat. Nowadays, we're sending crews to space, inventing cures for strange diseases, and ...
Mayo Clinic research identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease risk by enhancing a routinely performed imaging test with artificial ...
A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...
Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...
Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
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