BIOENGINEER

Federated Learning Framework Enhances Privacy and Accuracy in Heart Disease Prediction

A novel federated learning framework with hybrid feature selection achieves high diagnostic accuracy across distributed ...
BIOENGINEER

Machine Learning Model Shows Moderate Accuracy for Complex Coronary Lesions in Diabetes

A retrospective study evaluating a gradient boosting model incorporating heart function and inflammatory markers found ...
AHA/ASA Journals

Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development (LATENT): A Randomized Controlled Trial

BACKGROUND: Electrocardiographic analysis aided by artificial intelligence (AI) may identify atrial electrical vulnerability ...
UCSF Synapse

Algorithms Listen Between Heartbeats

But the signals that shape a patient’s future are not always found in the heartbeat itself. They can arise from patterns in ...

AI better assesses heart function from MRI than clinicians

Using artificial intelligence (AI) to assess heart function from magnetic resonance imaging (MRI) scans more strongly ...