News

A recent fMRI-based study found that learning via electronic devices such as smartphones or tablets can inhibit the brain’s ability to understand scientific texts, according to a recent study published by Scientific Reports.

Synthesized digital mammography (SM) was created to help reduce the radiation dose for patients undergoing digital mammography (DM) in digital breast tomosynthesis (DBT), so why haven’t more clinics adopted it?

A commonly prescribed drug used to treat attention-deficit/hyperactivity disorder (ADHD) disproportionately affects the development of children’s brains compared to adults with ADHD, according to a new study published in Radiology.

New research suggests that fluorodeoxyglucose (FDG) PET is better for assessing the severity of Alzheimer’s disease and mild cognitive impairment (MCI) than florbetapir-PET scans.

There’s a strong case to be made for mammography to become a “dual test” for both breast cancer screening and cardiovascular disease (CVD) prevention, according to a new review published in the European Journal of Radiology.

Resting echocardiography stands head above shoulders as the most used imaging modality for patients with heart failure in Canada, according to a 14-year analysis published in JAMA Network Open.

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.

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.

 

A neural network model can scour electronic medical record (EMR) data and determine if a patient has imaging-specific pulmonary embolism (PE)—a potential remedy for unnecessary CT imaging, reported authors of a multicenter study published in JAMA Network Open.

The American College of Radiology (ACR) and Radiological Society of North America (RSNA) are teaming up to create a medical 3D printing clinical data registry to demonstrate the growing value of the printing technology.

When radiologists have complete imaging histories of their patients they are more likely to provide better interpretations, but such information is often incomplete and inconsistent.