Health systems need to trust that artificial intelligence-based reports are accurate and complete. 

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

Although the predictive power of radiomics has been touted as a tool that could improve patient outcomes, the method has a long way to go before it can be reliably introduced into real-world clinical environments.

Large language models could have feasibility in the future as clinical support tools that triage patients for imaging services—with additional updates and more training, of course.

Radiologists need better access to patient data stored in the electronic medical record, imaging IT expert Rik Primo explains. 

Imaging IT expert Rik Primo discusses emerging issues he saw at RSNA and HIMSS.

Patients might sometimes undergo unnecessary and costly evaluations when specialists do not provide referrers with all of the necessary information. 

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.