This research study aims to investigate methods for enhancing lung cancer screening. The study will investigate whether an artificial intelligence (AI) tool, known as Sybil, can aid in predicting the risk of lung cancer. The investigators will also examine whether expanding the screening criteria (based on the guidelines of the Potter and American Cancer Society (ACS)) can help identify individuals at risk who are not currently included in the U.S. Preventive Services Task Force (USPSTF) guidelines.
Age 50-80 years at the time of consent
USPSTF: ≥20 pack-years, currently smoke or quit ≤15 years ago.
Potter: 20 years of smoking, regardless of intensity
ACS: ≥20 pack-years, no restriction on quit time
Inability to undergo LDCT
Current diagnosis or history of lung cancer < 5 years prior to study enrollment.
Life expectancy <1 year
Active lung infection requiring systemic therapy