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.

The large language model’s medical manuscripts are becoming so well constructed that it can be difficult to distinguish them from those compiled by humans. 

Online access to medical records has become standard practice, making sharing radiology reports and communicating findings much more streamlined.

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.

With resources stretched thin at many facilities, this type of feedback can often be limited.