"Everyone in charge at our institution thinks the female residents are 'whiny.' We are told to keep our heads down and not cause problems."

The agent was found to be better than standard CT imaging for patients with clear cell renal cell cancer.

The model incorporates specific data from MRI exams with patient risk factors to predict whether a person is likely to develop clinically significant prostate cancer.

Finely tuned, pre-trained large language models are beginning to reliably translate image content into text, but are they ready to take on medical images? 

In December 2022, the registry filed a trademark infringement lawsuit against Lemesha Cannon, accusing her of knowingly and intentionally misusing trademarks to obtain employment. 

The combination of AI and CT helped Nehal Mehta, MD, and colleagues track the performance of a new drug designed to target coronary inflammation. 

This development could help scientists fine-tune speech therapy to people who struggle with speaking. 

Contextualized reports differ from structured reports in that they focus on specific clinical indications, rather than a basic standardized checklist of anatomical regions that does not always address a particular concern.

This week at the International Society for Magnetic Resonance in Medicine’s annual meeting, a team of experts presented new data on the technologist’s role in MRI safety events.

Machine learning models could help create a more standardized, reproducible and efficient way of grading Crohn’s disease severity in the small bowel based on CT imaging.