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.

Xiang Li, PhD, with Massachusetts General Hospital’s Department of Radiology, and colleagues showed their platform could identify pneumothorax when tested on scans with and without the condition, doing so in less than three minutes per scan.

A new AI platform takes a mere 10 seconds to identify key findings on a patient’s chest x-ray, compared to the 20 minutes typically required.

J. Raymond Geis, MD, senior scientist at the ACR Data Science Institute, spoke with HealthImaging about the recently published multisociety statement on ethical AI in radiology.