See the Real-World Impact of AI in Radiology

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

In a recent interview, Gadi Lalazar, MD, discussed new research demonstrating the capability of natural language processing (NLP) to enhance recognition of incidental hepatic steatosis in ultrasound reports.

Report One, reportedly the first agentic reporting tool specifically geared to breast imaging, is one of three new products that will be showcased by MagView at the upcoming RSNA conference.

Artificial intelligence plaque analysis of CCTA scans showed that 27 percent of former NFL players had severe or extensive total plaque volume, according to a new study to be presented at the American Heart Association Scientific Sessions 2026 this week.

While the P4 trial represents a landmark study on the use of CCTA guidance for percutaneous coronary intervention (PCI), there are pertinent caveats that warrant closer inspection.

While contrast-enhanced mammography (CEM) offered the highest agreement with histopathology on the extent of malignancy in a new study, researchers found the use of pre-op CEM had no impact on mastectomy or reoperation rates.

The Evident Vascular Guidance System and Evident peripheral imaging catheters reportedly offer enhanced image clarity and workflow efficiencies for intravascular ultrasound.

Amid the burgeoning imaging volumes and ongoing radiologist shortage, this author suggests that more active involvement by radiologists in the creation and development of AI models could go a long way.