Discussions about AI and radiology often focus on the researchers who help develop the algorithms and radiologists themselves. But a new analysis published in Academic Radiology shines a light on another key role in the implementation of AI: the imaging informaticist.

Deep learning neural networks can improve the detection of tuberculosis (TB) and provide health systems with considerable cost savings, according to new findings published in Scientific Reports.

AI can detect brain hemorrhages in CT scans more accurately than some radiologists, according to new findings published by Proceedings of the National Academy of Sciences.

CVS Health is experimenting with drone delivery to its pharmacy customers through a new partnership with UPS subsidiary UPS Flight Forward.

Partners HealthCare has launched two new investment funds designed to improve funding for AI solutions and other key technologies.

Deep learning algorithms can be trained to flag suspicious chest x-rays in an emergency department (ED) setting, according to new research published in Radiology.

Health services company Humana is teaming up with Microsoft in a seven-year deal to develop predictive solutions and intelligent automation through the cloud.

Researchers have trained a machine learning model to identify patients with familial hypercholesterolemia (FH), a genetic disorder that increases a person’s risk of coronary artery disease.