“The differences that we observed indicate the strong possibility that there are sex differences in the structural and functional connections in the brain, which may contribute to women’s increased risk for Alzheimer’s,” said Sepideh Shokouhi, at the Alzheimer’s Association International Conference in Los Angeles.

A newly created three-dimensional (3D) neural network can improve the detection of pulmonary nodules on CT scans, according to a study published July 12 in PLOS ONE. 

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.

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.

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.