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? 

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. 

The sensor uses laser light encased in fiber cables and a small glass container filled with gas to measure changes in the strength of a magnetic field. 

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. 

Experts signaled optimism for how their findings could benefit men who might be reluctant to seek support while battling cancer. 

Applying an edema classification system to preoperative MRI exams provides insight into whether patients' breast cancer will spread.