Image IQ: 7-year-old with Pain after Fall

Catch up on the top radiology content of the past week.

In a recent interview, Shadpour Demehri, MD, discussed new research examining connections between deep learning assessment of bone mineral density on chest CT, brain MRI data and the potential for enhanced risk stratification in patients with diabetes.

Catch up on the top AI-related news and research in radiology over the past month.

A deep learning model developed for predicting BI-RADS assessments from dynamic contrast-enhanced (DCE) breast MRI had over a 14 percent lower AUC than radiologist evaluation in external validation testing.

While better imaging may reduce the need for additional diagnostic tests, it may also eliminate the reimbursement that comes with those additional tests.

Offering telescoping and high-flow configurations, the TriNav Advance device reportedly provides interventional radiologists with improved access to small distal vessels during liver embolization procedures.

The CARE Chest X-Ray (CXR) Triage software reportedly bolsters consistent flagging of suspicious chest X-rays for lung collapse and pneumomediastinum across reviewing readers of different experience levels.

In a study involving over 700 participants who had chest CT and brain MRI, those with diabetes and lower vertebral bone mineral density (vBMD) had a nearly five percent faster total accumulation of white matter hyperintensity (WMH) in comparison to those without diabetes.