Machine learning is more accurate at predicting the long-term risk of potentially life-threatening cardiac events compared to standard clinical assessments, and eventually may revolutionize cardiovascular care.

Should AI systems be empathetic? That’s the question asked—and discussed at length—in this new analysis.

The deep learning-based model yielded a lower false-negative rate for more aggressive cancers compared to traditional approaches.

Eko, a San Francisco-based healthcare technology company, announced that its ECG-based algorithm for heart failure has been granted a Breakthrough Device designation by the FDA.

Autism XR, a nonprofit based out of Boise, Idaho, is using virtual reality (VR) to help children on the autism spectrum prepare for a variety of real-life experiences.

This deep neural network was able to extract vast amounts of data from images and deduce a higher cancer risk association when compared to even the best mammographic breast density model.

AI holds tremendous promise for making radiologists more efficient, but when it comes to cancer care, a few experts believe the coming tech revolution may encounter a few problems.

AI technologies are having a direct, significant impact on patient care, according to a new report from MIT Technology Review and GE Healthcare.