Diagnosing cancer today involves using chemical “contrast agents” to improve the accuracy of medical imaging processes such as X-rays as well as computed tomography (CT) and magnetic resonance imaging (MRI) scans. But those agents can be expensive, take more time to use and pose potential health concerns. With a new four-year, $1.1 million grant from the National Science Foundation (NSF), researchers at Case Western Reserve University hope to develop an artificial intelligence (AI) alternative that generates virtual contrast-enhanced images without chemical agents.