AI system LILAC detects changes in medical images

A new AI system called LILAC can analyze medical images taken over time, detecting changes and predicting outcomes with high accuracy. This system, developed by researchers at Weill Cornell Medicine, shows promise for various medical applications. LILAC automates corrections and identifies changes in longitudinal image datasets, unlike traditional methods that require extensive pre-processing. It has demonstrated 99% accuracy in determining the order of images from developing embryos and in assessing healing tissue. The researchers plan to test LILAC in real-world scenarios, such as predicting treatment responses in prostate cancer patients. The source code for LILAC is available for free, supporting further research and development.