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.

The demand for interventional radiology procedures is growing, but it is a specialty for which health literacy is lacking.

Dana Smetherman, MD, CEO of the American College of Radiology, explains resources available through its Data Science Institute to evaluate and validate the quality of imaging algorithms.

Many of these exams are ultimately deemed normal, and their results often do not affect how patients’ headaches are managed. 

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.