Adaptable AI Detects Subtle Changes in Imaging Across Multiple Clinical Settings

A versatile new Artificial Intelligence system can predict outcomes for a variety of pathologies based on assessments of longitudinal imaging datasets. 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. LILAC was designed to offer greater training flexibility. Unlike other AI models, it does not require extensive preprocessing or customization of data, as it can automatically detect subtle alterations and adjust accordingly—something developers typically must do manually.