Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

The FDA-approved tool works by reprioritizing CTPA exams to the top of a radiologist’s work list when the scan is positive for PE.

A team of experts with the University of Maryland School of Medicine recently presented ChatGPT with a set of questions relative to breast cancer screening recommendations to determine whether the program could reliably offer appropriate guidance.

Radiologists used an AI tool-building platform to create their model(s), which allows clinicians the opportunity to develop AI models without any prior training in data sciences or computer programming. 

The generated report included indication, findings laid out numerically, TNM stage, impression and follow-up recommendations.

The findings contradict prior research that utilized the same software, experts involved in the research noted. This could be due to out-of-distribution data for the DL software, which could impair its performance. 

Cardiology has the second largest number of FDA-cleared AI algorithms, and many of them are for cardiac ultrasound. Echocardiography expert Patricia A. Pellikka, MD, discusses this trend and how AI is helping improve echo.

The use of synthetic images could reduce the amount of gadolinium-based contrast agents needed for breast MRI examinations, according to new data published this week in Radiology.