Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).

After day shifts began bleeding into night shifts at frustratingly frequent rates, one radiology practice in Kentucky devised a plan to get its lengthy worklists back on track—enter the “bunker shift.”

Data scientists and software engineers at the University of Arkansas have been awarded more than $140,000 by the NIH to educate biomedical researchers on the growing role of AI in big-data analytics.

Close to 90% of family-medicine departments at U.S. medical schools employ one or more faculty members trained in point-of-care ultrasound, including 7% that are presently training at least one (or one more).

Reviewing a 20-month run with a radiologist-to-technologist communications tool, researchers have found minor problems with image quality 10 times more common than patient callbacks for repeat imaging.

The solution will support Niagara Health’s growing imaging demands and provide efficient workflows to improve diagnostics and patient care within the Niagara region.

Arl Van Moore, MD, American College of Radiology (ACR) delegate to the American Medical Association House of Delegates, former ACR president, chairman of the ACR Board and former CEO of Strategic Radiology, discusses radiology-related policy decisions at the AMA 2022 meeting.

American Society of Nuclear Cardiology (ASNC) delegates to the American Medical Association (AMA) House of Delegates 2022 meeting Stephen Bloom, MD, and Nishant Shah, MD, explain a new AMA policy asking Congress to revise its clinician decision support mandate.