FireANTs Brings AI Speed and Geometric Precision to Medical Imaging ESE, Innovation, Research / July 10, 2026 Share: Author: Ian Scheffler Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle changes that, over time, can signal disease. In some cases, the new algorithm can accomplish in minutes what would have taken prior techniques an entire week. Dubbed “FireANTs,” the algorithm operates differently than many AI approaches to analyzing medical images. “Typically, AI systems make predictions based on their training data,” says Pratik Chaudhari, Assistant Professor in Electrical and Systems Engineering (ESE) and co-senior author of a study in Nature Communications. READ MORE Read More Inside NSF AIRFoundry, Senator McCormick Gets a Look at the Future of RNA Discovery