Images of patients with traumatic head injuries revealed that microbleeds appear in the form of small, dark lesions and may predict worse outcomes, according to a new study published in Brain.

Researchers found measurements performed with their full-scale airway network flow model based on CT imaging data compared similarly to measurements derived from functional lung imaging. In addition to improving COPD analysis, the platform can help shed light on many forms of lung disease.

Deep learning offers similar detection of prostate cancer on MRI compared to prostate imaging reporting and data system (PI-RADS) assessments, according to new research out of Germany.

Differences in brain circuitry may indicate an individual’s risk for suicide, according to a recent fMRI-based study published in Psychological Medicine.

“The Center for Intelligent Imaging will serve as a hub for the multidisciplinary development of AI in imaging to meet unmet clinical needs and provide a platform to measure impact and outcomes of this technology,” said Christopher Hess, MD, PhD, chair of the UCSF Department of Radiology and Biomedical Imaging.

New research utilizing functional MRI (fMRI) has cast doubts on a commonly believed theory about dyslexia, potentially paving the way for new approaches to the learning disorder.

A newly created four-dimensional virtual catheter technique allows for reproducible, automated estimation of blood flow in patients with congenital bicuspid aortic valve (BAV), reported authors of an Oct. 8 study published in Radiology.

"Income volatility is at a record level since the early 1980s and there is growing evidence that it may have pervasive effects on health," said Adina Zeki Al Hazzouri, PhD, assistant professor of epidemiology at Columbia Mailman School of Public Health.