The deep learning model, “Sybil”, developed by MIT's Jameel Clinic can be used to predict lung cancer risk, using data from just a single CT scan. Journal of Clinical Oncology study posits that “a deep learning model assessing the entire volumetric LDCT [Low Dose Contrast CT] data could be built to predict individual risk without requiring additional demographic or clinical data".