A generative adversarial network accurately segmented brain white matter volume by analyzing hundreds of patient images, researchers reported in the Journal of Digital Imaging.

The study is the first, and largest of it's kind, according to researchers from the University College London, and offers new insights into how the heart functions.

Researchers from around the world pooled together imaging data on patients with a rare genetic condition to create the largest neuroimaging study of DiGeorge syndrome.

Magnetic resonance texture analysis is part of a growing field that uses math to detect changes in imaging signals, and could be used to develop neuroimaging biomarkers to better understand the disease.

Discussing discordant findings on breast cancer screening exams improves care, and international experts believe the U.S. should reconsider its "single-reader paradigm," they wrote in Radiology.

Experts at Imperial College London are using Microsoft HoloLens2 to help students perform CT-guided biopsy.

A Seattle-based researcher dramatically reduced the time necessary to read a scan from four hours down to seven minutes.

One expert believes AI "simply isn't ready" to handle the ever-growing workload many imaging professionals are encountering, sharing his thoughts Feb. 4 in Forbes.