Radiology Roundup of FDA News: March 8 — March 14

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

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

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

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

This summer's breast imaging research spanned digital breast tomosynthesis (DBT) efficiency gains, AI models that flag cancer risk years before diagnosis, a cautionary study on automation bias, and advances in ultrasound, MRI, and contrast-enhanced mammography (CEM). Here is a look back at the most well-viewed breast imaging content of the summer.

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.

In a recent interview, Stamatia Destounis, MD, FACR, shared her perspective on recent changes to the BI-RADS system, offering insights on contrast-enhanced mammography, reporting changes for breast MRI and ultrasound, and the importance of auditing for BI-RADS category 3 assessments.

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.