Researchers looked at data from more than 2,500 free-text radiology reports of patients undergoing hepatocellular carcinoma surveillance to determine if an NLP approach could extract clinical data and predict downstream utilization of resources.

Educating radiologists on ACR-recommended follow-up for incidental adnexal lesions and incorporating such guidelines into normal workflow significantly improved the rate of adherence, reported authors of a Feb. 26 study published in the American Journal of Roentgenology.

“Our results show that worklists organized by relative individual interpretation times can decrease the overall group interpretation time in a multireader setting,” wrote authors of a Feb. 26 study published in the the American Journal of Roentgenology.

Implementing a clinical decision support (CDS) tool increased the overall appropriateness scores of CT and MRI orders, but showed no major difference between the habits of house staff and non-house staff.

There is an "immaturity" between machines and humans, said Paul J. Chang, MD, of the University of Chicago. Unless radiology departments augment their current IT infrastructure, AI could become another technological-driver of burnout.

Fujifilm will showcase its enterprise imaging and informatics solutions at the Healthcare Information and Management Systems Society's (HIMSS) Global Conference.

“Integration of a scoring system into structured prostate MRI reports could be of great value to clinical research as well as routine clinical care...," wrote authors of a new study published in the American Journal of Roentgenology, which examined how background signal-intensity changes affect prostate cancer detection.

A CT angiography (CTA)-derived score that also incorporated the extent, location and composition of coronary plaque outperformed a model that focused only on the severity of stenosis, researchers reported Jan. 16 in JACC: Cardiovascular Imaging.