"We use 3D mammograms, colonoscopies and lung CT scans to find and prevent breast, colon and lung cancer, but we haven’t had similar capabilities for the world’s number one killer—heart disease," said CEO James Min, MD. 

Artificial intelligence could improve rads' productivity but also decrease demand for their services, according to a new Association of American Medical Colleges report. 

The Plantation, Florida, imaging center operator declined to disclose its partner's name for "strategic reasons." 

Dutch researchers believe the program could lead to fewer unnecessary diagnostic interventions, lower radiologists' workloads and reduce the costs of cancer screening. 

Taking a radiologist-centric approach to AI development holds promise for catching systematically missed lung cancers, experts wrote recently. 

The Santa Clara, California-based company has raised more than $49 million in funding and inked partnerships with providers including RadNet and the Mallinckrodt Institute of Radiology. 

Leaders in the space shared their predictions for imaging AI during a panel hosted by the Stanford Institute for Human-Centered Artificial Intelligence. 

The FDA has granted 510(k) clearance to a French startup for surgery software that combines AI with augmented reality and computer vision.