Artificial intelligence (AI) has become an essential feature of many subspecialties of radiology, particularly neuroradiology, which heavily relies on magnetic resonance imaging (MRI) to help diagnose conditions that afflict the central nervous system.
“Our most meaningful goal is to improve patient care and outcomes. And we can do that by making better diagnoses with the help of AI tools,” says Matthew Kuhn, MD, FACR, a neuroradiologist with Radiology Partners in central Illinois, and a clinical professor of radiology at the University of Illinois College of Medicine in Peoria, Ill.
Dr. Kuhn is also the Chief Medical Officer for A.I. Analysis, Inc., the company that developed the Change Detector software system to compare serial imaging studies and eGad, a synthetic enhancement tool for brain, liver and breast gadolinium studies… Read more and watch video here.