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?
Researchers tracked data from more than 400,000 patients for a new meta-analysis, presenting their findings in the Journal of the American Heart Association.
The study, presented at the Society of Interventional Radiology Annual Scientific Meeting, marks one of the first to use freezing on large tumors in the breast.
While the American College of Cardiology's annual meeting has historically had a more clinical focus, presentations at this year's conference in Atlanta will spend much more time looking at the business side of things.
Eric Secemsky, MD, from Beth Israel Deaconess Medical Center and Harvard Medical School, says a lack of hands-on training and reimbursement challenges are hindering the adoption of IVUS.