Applied to head CT images, AI software can help speed diagnosis of ischemic stroke while also localizing large vessel occlusions when the latter are a culprit, according to a systematic review of studies published over a five-year period ending in February.

A newly created four-dimensional virtual catheter technique allows for reproducible, automated estimation of blood flow in patients with congenital bicuspid aortic valve (BAV), reported authors of an Oct. 8 study published in Radiology.

A convolutional neural network (CNN) could potentially help with the detection and segmentation of suspicious findings on prostate MRI scans, according to new findings published in Radiology.

"Income volatility is at a record level since the early 1980s and there is growing evidence that it may have pervasive effects on health," said Adina Zeki Al Hazzouri, PhD, assistant professor of epidemiology at Columbia Mailman School of Public Health.

As the use of artificial intelligence continues to proliferate in healthcare, radiologists may be opening themselves up to a whole new set of liability concerns.

Xiang Li, PhD, with Massachusetts General Hospital’s Department of Radiology, and colleagues showed their platform could identify pneumothorax when tested on scans with and without the condition, doing so in less than three minutes per scan.

Machine learning models using radiomics can help radiologists classify renal cell carcinomas (RCCs), according to new findings published in the American Journal of Roentgenology.

Hospitals of the future will operate very differently than today thanks to the boom in AI, according to the American Hospital Association.