Analyzing medical image data has always been a complex and laborious process. Recently, researchers at Weill Cornell Medicine developed a novel artificial intelligence system called LILAC (Learning-based Inference of Longitudinal Image Changes) that can efficiently and accurately analyze and detect changes in medical images over time. This research, published on February 20th in the Proceedings of the National Academy of Sciences, showcases LILAC's broad application potential in various medical scenarios. Traditional medical image analysis methods often require extensive customization and pre-processing.