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

A new study in JAMA delves into how error management training builds adaptive expertise in interpreting head CT studies among nonradiologists. 

Many traditional radiology courses leave out hands-on opportunities for students—something that could greatly benefit their understanding of the specialty.

Women are considered especially vulnerable to this statistic, as they are more likely to partake in part-time training, a new analysis shows.

The Hawaii-based imaging specialist has been working with high school students to bring greater awareness to the multitude of career options in the industry. 

Meta Llama 3—a newer open-source large language model—may soon be giving other LLMs a run for their money in the medical field.

The AI tool could help train providers in identifying and diagnosing a wide array of fetal conditions. 

Crafting these materials is typically left up to radiologists who draw from their own educational and clinical experiences, but the process is time consuming and can incur significant costs.