RESEARCHERS ARE DEVELOPING AN AI MODEL THAT COULD DETECT FUTURE LUNG CANCER RISK – DURKKAS INFOTECH

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. 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. 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.