In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
Cardiologists often struggle to assess heart attack risk. New startups using AI could help.
The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive ...
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 new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
Five digital health startups recently graduated from the accelerator programme of the National University of Singapore Yong Loo Lin School of Medicine and 22Health Ventures. Started as a hackathon ...
Walking 10,000 steps a day is a popular health goal, but researchers have introduced a new, potentially more powerful metric: daily heart rate per step (DHRPS). In a new study published by researchers ...
A future where heart attacks, strokes, and even cancer might be predictable is coming near—not only cured—thanks to a small, new eco-friendly sensor that can detect harmful levels of cholesterol in ...