Nina Kottler, MD, associate chief medical officer for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need for radiology practices and hospitals to learn how to perform quality assurance testing for bias.

The healthcare market analysis firm Signify Research released a list of predictions in radiology its analysts expect to see in 2025. 

Radiology researchers have developed and validated an automated program for tracking incidental imaging findings. The system facilitates communications between radiologists, patients and primary care providers whenever such findings turn up.  

The University of Pennsylvania in Philadelphia has aimed to tackle this conundrum, developing a deep learning-based image analysis tool and AI “orchestrator.” 

The radiologist maestro assesses colleagues' needs in real-time and makes decisions accordingly at Children’s Hospital of Philadelphia. 

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Its flagship product is the Studycast imaging workflow platform, which CSI billed as “more than a picture archiving and communication system." 

Christoph Wald, MD, vice chair of the American College of Radiology Board of Chancellors, explains the partnerships with academic institutions to create the Health AI Challenge will help provide a better understanding of how foundational AI models work.