A generative adversarial network accurately segmented brain white matter volume by analyzing hundreds of patient images, researchers reported in the Journal of Digital Imaging.
Under the novel methodology, medical students interpret images themselves and receive feedback from instructors, taking them off the sidelines and into the reading room.
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.
“This pioneering effort leverages evidence-based guidelines and the consensus of medical experts in a new and powerful way to optimize care for military veterans,” said Theodore L. DeWeese, MD, chair of ASTRO's board.
The Ad Hoc Group for Medical Research, which includes the American College of Radiology and Society of Nuclear Medicine and Molecular Imaging, is pushing for a bump to the institute's budget.
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.
The percentage of imaging experts who prefer to deal with distress on their own is higher than last year's Medscape survey.