Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers, in ...

Stroke risk prediction tools are meant to guide how doctors approach a potentially deadly condition, using factors like ... including newer models that use machine learning. A new analysis ...

However, despite improvements managing complications associated with the use of CF ... results with machine learning to detect with high reliability the likelihood of stroke progression from ...

These screenings would let individuals know their risk of stroke and heart ... human experts.” The use of machine learning, says Keane, can overcome this challenge. Using AI to diagnose disease ...

For instance, there is the possibility of using machine learning to predict when to use pacemakers ... Learning for Prediction of Atrial Fibrillation in Patients with Cryptogenic Stroke: A Novel ...