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? 

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

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. 

The popular AI chatbot's performance highlighted both its strengths and its weaknesses. It can answer multiple-choice questions, for example, but it struggles with consistency. 

The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.

Buzzworthy developments of the past few days.

Half a year after President Biden officially directed federal agencies in the executive branch’s bailiwick to “seize the promise and manage the risks” of AI, the White House has posted a status report.

Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports.