Gadolinium-based contrast agents (GBCAs) are central to MRI exams, providing critical information unavailable with other modalities. However, some patients experience acute adverse reactions, and investigators of a recent study published in Radiology set out to get a clearer picture of these events.

iCAD announced Thursday, July 11, that its ProFound AI solution for 2D mammography has gained CE mark approval.

The UK’s National Health Service announced Wednesday that it’s partnering with Amazon on AI. The plan is to offer NHS-approved health advice to every Brit who speaks a health-related query into an Alexa-enabled device.

Can a virtual world instill the same level of knowledge in radiology students as a traditional face-to-face classroom approach? Researchers of a new study published in the American Journal of Roentgenology think so.

Deep learning algorithms can manage thyroid nodules on ultrasound (US) images at a level comparable to expert radiologists, according to new research published in Radiology.

The algorithm improved the specificity of thyroid biopsy recommendations, beating seven of nine radiologists. With more research, the algorithm could help in the decision-making process for assessing thyroid nodules.

A new ultrasound method called passive cavitation imaging (PCI) can create an image estimating the amount of a drug that has crossed the blood-brain barrier (BBB), according to new research conducted at Washington University in St. Louis.

While AI wasn’t the only topic discussed during the SIIM 2019 annual meeting, every issue seemed to be tied to the emerging technology in one way or another.