“Medical M.R.I.s can do great characterization of samples, but not at this small scale," said A. Duke Shereen, director of the MRI Core Facility at the Advanced Science Research Center in New York, to the New York Times.

Teenagers with large amounts of white matter depicted on brain scans are more likely to up their alcohol intake over the next five years, reported authors of a new study published July 2 in eLife.

In the first five months of the EHR, radiology information system (RIS) and PACS deployment project, Robert Paul, a radiology informatics manager at Mayo Clinic in Arizona, lost 60% of his team. He described his efforts to reduce burnout among his staff during a presentation at the SIIM annual conference.

A deep neural network platform can help radiologists detect abdominal aortic aneurysms (AAAs) on CT images, and is especially helpful in clinically challenging cases, according to research presented at the SIIM annual conference.

The American College of Radiology (ACR) has expanded its ACR AI-LAB pilot program geared toward helping radiologists develop AI models without the use of coding language.

Blockchain could be used to streamline preauthorization, share images between institutions and empower patients. But if healthcare as a whole isn't interested in sharing data, no technology can solve the industry's imaging informatics problems.

A higher level of background parenchymal enhancement (BPE) measured during breast MRI is associated with the presence of breast cancer in women at high risk of breast cancer but not in women with average risk, according to a new study.

PET brain imaging using a new brain imaging paradigm yields preliminary evidence that tobacco smokers may have reduced neuroimmune function compared with non-smokers.

A convolutional neural network (CNN) approach can accurately identify and sub-classify suspected tuberculosis (TB) on chest radiographs, according to research presented at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.

Supplemental training can improve radiologists’ performance in reading screening mammograms, according to a recent study.