Researchers at Beth Israel Deaconess Medical Center in Boston have developed an imaging technique that allows physicians to diagnose CAD without the risk of a contrast agent.

Congress passed the Protecting Access to Medicare Act (PAMA) in 2014 with the intent of reducing expensive, unnecessary imaging orders. Five years later, the legislation is set to enter a testing period, with CMS still undecided on when penalties will begin. A new investigation published by NPR asks if the delays have had an impact on patients.

A new machine learning system created by UCLA researchers may help doctors classify breast cancers that are notoriously difficult to diagnose, according to an Aug. 9 study published in JAMA Network Open.

Point-of-Care ultrasound is now routinely used wherever a patient in need happens to be. In the midst of it all, radiologists and ER doctors are looking for ways to collaborate rather than compete.

Machine learning models could help some patients with suspected pulmonary embolism (PE) avoid unnecessary CT imaging, according to new findings published in JAMA Network Open.

Radiologists’ pay-raise rates are flat. Administrators are working hard to earn bonuses. Lots of technologists are looking for new opportunities, and few PACS pros are skimping on time off (but not many are overdoing it either). See the numbers behind the factoids in the tabulated results of the 2019 RBJ Salary Survey.

Patients with critical limb ischemia might be better off if they opt for endovascular-first treatment over an open surgical bypass, a Circulation: Cardiovascular Quality and Outcomes study suggests.

The Protecting Access to Medicare Act of 2014 (PAMA) finally goes into effect on Jan. 1, 2020, meaning advanced imaging orders must be placed using clinical decision support for Medicare to provide a full reimbursement.

Machine learning algorithms can classify free-text pathology reports at the organ level and are easily interpreted by human readers, according to an Aug. 7 study published in Radiology: Artificial Intelligence.

Colorado’s UCHealth system has extended the reach of “Livi,” an AI-powered virtual assistant it introduced early this year, from its website to patients’ smart speakers.