Radiological Society of North America

3 days ago | rsna.org | Richard Dargan

Machine Learning Model Can Offer Personalized MedicineDr. Daye, who is an interventional radiologist and assistant professor at Massachusetts General Hospital and Harvard Medical School, both in Boston, and colleagues used an existing database of images from melanoma patients that included 79 patients with 168 metastatic liver lesions. All patients had arterial phase CT images one month prior to initiation of ICI.

3 weeks ago | rsna.org | Richard Dargan

A machine learning tool outperformed other available strategies for harmonizing brain volumetric data from different MRI scanners while preserving Alzheimer’s disease detection in a clinical setting, according to a study in Radiology: Artificial Intelligence. Structural MRI scans with quantitative imaging markers such as brain volume are useful for diagnosing Alzheimer’s disease and differentiating it from other types of dementia.

3 weeks ago | rsna.org | Nick Klenske

Although often overlooked, interoperability is the unspoken hero of health care. It enables two or more different systems to exchange and use data, playing a crucial role in driving efficiency and improving patient care. In fact, without interoperability, there would be no electronic health records (EHRs) sharing data across practices, labs sending results to hospitals, or prescriptions being electronically sent to pharmacies.

2 months ago | rsna.org | Nick Klenske

Image Courtesy of Suyash Gunjal, MBBS, MD (Art of Imaging 2024) Make the SwitchDrs. Scheel and Carver recommended that departments consider switching to less energy intensive imaging tests, such as US or radiography. “When more than one imaging test is appropriate to answer a clinical question, imaging tests with lower emissions should be prioritized,” Dr. Scheel noted.

2 months ago | rsna.org | Nick Klenske

For male patients increased left-ventricular mass (LVM) was predictive of a cardiovascular event, while LVM-to-volume ratio was predictive in female patients Cardiovascular disease (CVD) is a major cause of death in people worldwide. CVD is characterized by structural alterations in the size and shape of the myocardium over the course of the disease, termed left ventricular (LV) remodeling.