A new artificial intelligence tool called Sybil is helping doctors predict lung cancer risk years before it appears on scans, potentially closing gaps in current screening guidelines. Currently, standard lung cancer screening is conducted through low-dose CT scans, but only about 20% of eligible individuals undergo this type of screening. To address this gap, doctors at Mass General Brigham Cancer Institute collaborated with engineers at MIT to develop Sybil, an AI tool that analyzes a single CT scan and generates a risk score predicting the likelihood of developing lung cancer over a period of up to six years. Sybil uses pattern recognition trained on tens of thousands of scans to detect biological signals invisible to the human eye. In 2023, researchers reported that Sybil achieved an accuracy rate of 86% to 94% in distinguishing high-risk patients from low-level patients.