How AI predicts lung cancer risk 6 years in advance

In recent years, lung cancer rates have been rising in nonsmokers, a troubling trend for the world's #1 deadliest cancer. Sybil is a deep learning model built by MIT Jameel Clinic and Mass General Brigham researchers that accurately predicts lung cancer risk up to 6 years in advance by analyzing a patient's LDCT scan.
How exactly does this state-of-the-art model work and what was the key insight that brought it to life? Watch the 7-minute video below to learn more about how Sybil is transforming the future of lung cancer screening.
Now, Sybil is being deployed as part of the MIT Jameel Clinic AI Hospital Network in hospitals around the world. We welcome new hospital collaborators to join us in our mission to save patient lives: jclinic.mit.ed...