Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Cardiologists often struggle to assess heart attack risk. New startups using AI could help. For all the modern marvels of cardiology, we struggle to predict who will have a heart attack. Many people ...

A simple £5 blood test for the protein troponin could predict a person's risk of heart attacks and strokes with greater accuracy than ever before, research suggests. Troponin is found in heart muscle ...