Three factors are associated with true high-risk findings—imaging protocols for aortic valve implantation planning, imaging area, and cardiology department orders.

The large language model can also outperform other human providers, radiologists included, new study shows.

With proper prompts and appropriate context, chatbots can play a valuable role in imaging referrals. 

New research suggests that there might not be a straightforward answer to questions related to which type of reporting method is ideal. 

Although LLMs have seen rapid advancement in recent years, they still cannot compare to human radiologists when it comes to staging cancer using free text reports. 

Such tools can be especially beneficial for trainees working late-night shifts, when quality feedback is generally delayed and more difficult to come by.

Although AI implementation in clinical practice has taken flight in recent years, opportunistic screening utilization has been less common.

Harrison.rad.1 can conduct chats related to imaging, identify and localize X-ray findings, generate reports and provide its reasoning based on patient history and clinical context.