An artificial intelligence based deep learning model can predict lung cancer risk using only a single low dose computed tomography scan, according to research carried out in Korea. The deep learning model, which is known as Sybil, was originally developed using National Lung Screening Trial data by investigators from the Massachusetts Institute of Technology and Harvard Medical School.