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.

Data security has become a serious issue in the U.S., not only for big tech companies like Facebook, but for vendors and institutions looking to use patient imaging information to develop AI platforms.

“Medical M.R.I.s can do great characterization of samples, but not at this small scale," said A. Duke Shereen, director of the MRI Core Facility at the Advanced Science Research Center in New York, to the New York Times.