Cardiology makes up 10% of the 692 market-cleared clinical AI algorithms in the FDA’s latest update on the number of patient-facing AI now commercialized in the U.S. Experts share their thoughts on how it is being used.

AI-based prediction models have shown significant promise, but many are still flawed in a way that limits their value. 

More and more AI algorithms are being trained to learn, think and act like a human physician. What does this mean for the future of cardiovascular imaging as time goes on?

CCTA has seen rapid adoption and growth over the past two years, and RSNA vendors fed that trend with new product launches.

The funds are expected to go toward bringing in new employees and accelerating the development of a new cardiac imaging offering. 

The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans. 

ChatGPT may not be quite ready to help prepare trainees for their next echocardiography exam—but it does show promise.