In the first of a two-part podcast episode, Lauren Nicola, MD, Christoph Wald, MD, PhD, MBA, and Peter Shen discuss current challenges with reimbursement for AI in radiology.

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

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.

Newly cleared findings for the adjunctive AI platform a2z-Abdo-Triage include acute appendicitis, renal traumatic injury, ureteral stone and retroperitoneal hematoma.

The use of adjunctive AI for pulmonary nodule assessment on chest CT exams led to over a three-minute reduction in median reporting time, according to newly reported research.

A new study shows that even small plaque volume may be associated with significantly higher risk for cardiovascular events, making the enhanced spatial resolution available with advanced imaging even more critical in risk stratification.

Elevated coronary inflammation, measured with the CCTA-derived and AI-enabled perivascular fat attenuation index (FAI) score, was associated with over a 12-fold higher risk for cardiovascular mortality in patients with no diabetes, hypertension, smoking history or obesity, according to new research presented at the European Society of Cardiology (ESC) Congress.

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