A team of experts determined that correlating masses initially detected on MRI are significantly more likely to result in a cancer diagnosis than other common findings.
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?
Is portable MRI suitable for finding abnormalities in the brains of patients receiving new amyloid-targeting therapy for Alzheimer’s disease? Clinical researchers are about to find out.
Alexander Fanaroff, MD, said the late-breaking BE ACTIVE clinical trial presented at ACC.24 offers a blueprint for how to get patients to be more physically active.