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.

ABB, an international technology company, has opened its first global healthcare research hub in Houston, Texas, to demonstrate some of its robotic solutions.

“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.

Applied to head CT images, AI software can help speed diagnosis of ischemic stroke while also localizing large vessel occlusions when the latter are a culprit, according to a systematic review of studies published over a five-year period ending in February.

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.