1.WHAT IS SYBIL?
An unseen, all-powerful female character who can be trusted to impart divine knowledge about the past, present, and future. Today, her name has been mined from antiquity and attached to a developing artificial intelligence tool for lung cancer risk assessment.

2.HOW SYBIL IS BETTER ?
LDCT scans of the lungs are currently the most common method by which patients are screened in hopes of finding lung cancer early. Taking screening a step further, SYBIL will analyze her LDCT image data without the help of a radiologist to predict the patient’s risk of developing lung cancer within her six years.

3.WHY SYBIL IS BETTER?
The researchers showed that over a 6-year period, sybil received c-indexes of 0.75, 0.81, and 0.80 from different sets of lung ldct scans obtained from nlst, mgh, and cgmh, respectively. It is considered good and above 0.8 is considered strong. Her roc auc for her one-year prediction using sybil is even higher, ranging from 0.86 to 0.94, with 1.00 being the highest possible score.
An exciting next step in the study is to prospectively test sybil in people at risk for lung cancer who have never smoked or who quit decades ago. It’s hard to accept that they weren’t screened, of course. Maybe that will change in the future.