Week in Review: AI detects lung nodules in 20 seconds | Measuring diagnostic radiologist performance | Self-compression during mammograms

A research team out of Russia says it has developed a new artificial intelligence (AI) system for treating lung cancer patients that can interpret CT results in 20 seconds.

Effectively and accurately measuring the performance of diagnostic radiologists has been a significant challenge for many years now, a puzzle that specialists within the industry have yet to solve.

It surprised some imaging professionals when a recent analysis published in the American Journal of Roentgenology called for the practice of patient shielding during medical imaging examinations to come to an end. Radiology Business spoke with that article’s two co-authors, Rebecca M. Marsh, PhD, and Michael Silosky, MS, to learn more.

A new 3D imaging technique has provided researchers with insight into how pancreatic cancers start and grow, according to findings published in Nature. 

Victims of intimate partner violence undergo four times more imaging than non-victims, according to research published Feb. 5 in Radiology. What can radiologists do to help them?

A recurrent neural network (RNN) can be trained to automatically classify important findings in unstructured radiology reports, according to new research published in the American Journal of Roentgenology. 

When primary care physicians (PCP) interact with their patients at a high level, it leads to improvements in breast cancer screening adherence for all racial and ethnic minority groups, according to new findings published in the Journal of the American College of Radiology.

Self-compression during mammography does not lead to a rise in patient discomfort or a drop in image quality, according to new findings published in JAMA Internal Medicine.

Companies developing imaging solutions powered by AI raised nearly $580 million in 2018, according to a report from Signify Research.

Emergency room (ER) doctors at Rhode Island Hospital in Providence have been delivered subpoenas charging them with medical misconduct for incorrectly ordering imaging examinations, according to an article published Jan. 30 by Politico.