The team's AI-based fractional flow reserve calculations achieved a strong area under the curve, sensitivity and specificity. 

The AI model, a convolutional neural network, could help age-based risk scores be more accurate than ever before.

An international group of researchers developed a deep learning model capable of identifying accessory pathways in patients with Wolff-Parkinson-White syndrome.

Researchers relied on imaging data from nearly 20,000 UK Biobank participants to reach their conclusion.

Researchers simulated more than 80 million patient encounters, running a variety of models to gain as much insight as possible. 

Sharing their findings in Radiology: Cardiothoracic Imaging, the researchers said their AI model should be easy to implement without creating a lot of additional work. 

While it was already known that cardiovascular disease is a leading cause of death among people living with HIV, the team's findings do provide fresh insight. 

The new AI tool can be used alongside GE Healthcare’s full line of Venue ultrasound systems, including the new Venue Fit.