Researchers involved in its development are hopeful that the scanner could eventually lead to improved outcomes in cancer patients who require surgery to remove malignant tissue.
The Learning-based Inference of Longitudinal imAge Changes, or LILAC, system harnesses machine learning to review medical images that have been collected over a prolonged period.
These animals are virtually indestructible and have long outlived the dinosaurs due to their ability to withstand extreme cold, heat, natural disasters and even cosmic radiation.
The algorithm has an edge over standard black box-style artificial intelligence applications because providers are able to see how it reaches conclusions.
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.
The avian influenza virus H5N1 has only turned up in two humans in the U.S., but its recent spread to dairy cattle has some experts on at least slightly elevated alert.
Finding new ways to avoid intraoperative anemia could go a long way toward improving outcomes for female CABG patients. The full analysis, based on more than 1.4 million patients, was published in the Journal of the American College of Cardiology.
