The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
WLRN

'95% accuracy': FIU researchers use artificial intelligence to detect heart disease early

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 ...
The Cardiology Advisor

STS: Study Examines Prediction Models for Reoperation Risk in Congenital Heart Disease

Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Medical Dialogues

Study examines prediction of surgical risk in growing population of adults with congenital heart disease

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...

The new way to predict your risk of a heart attack

Many people have no idea what their risk is—until it's too late.

Mammograms helping doctors detect warning signs of heart disease

Researchers have found growing evidence that contemporary mammogram imaging combined with AI analysis are able to predict a woman's risk for major cardiovascular events, such as heart attacks and ...