AI Wearables Predict Seizures, Cardiac Risks Early: Doctors Share Safe Use Tips

AI-enabled wearables are transforming preventive health by detecting abnormal heart rhythms, seizure-risk patterns and stress ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

How machine learning can help optimize treatment for septic shock

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...
Frontiers

Advancing Cardiovascular Risk Stratification with Machine Learning

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...
News Tribune

Using AI, genetics to identify early signs of rare, life-threatening heart condition

At the Mayo Clinic, cardiologists Peter Noseworthy, M.D., and John Giudicessi, M.D., Ph.D., are uncovering the earliest signs ...
Heart

Estimating 5-year absolute risk of cardiovascular disease using routinely collected electronic medical records from Australian general practices

Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...