While the latest ChatGPT models show promise in easing the reporting burden on radiologists in the future, they aren't up to the task just yet.

The large language model can identify report errors seven times more quickly than human readers, new study reveals.

In a study, the most accurate model combined deep-learning with a radionomics approach.

An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFR_CT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data. 

The new artificial intelligence model is currently reading draft radiographs at the Illinois health system.

Caption AI is designed to make cardiac imaging more accessible by offering step-by-step guidance on probe movements and ensuring image quality through a built-in meter.

The deep neural network was trained using over 40,000 patient ultrasound images and computer-generated facsimiles made from real scans.

The Advanced Research Projects Agency for Health has launched a survey for stakeholders to provide input on the project’s development.