Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

“ What we're doing is taking that signal and using machine learning to try to analyze that,” Hutcheson explains. “To pick out very subtle changes that indicate the presence of disease.” ...

This breakthrough system will transform the detection and prediction of coronary artery disease (CAD) through advanced machine learning technology.

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.

Dr. Shipra Arya, Stanford vascular surgeon, receives $300,000 AHA award to develop an automated deep learning–based ...

Wearable sensor data combined with machine learning predicts fall risk in Parkinson's patients, enhancing preventive care and clinical outcomes over five years.