Clinical Research Directory
Browse clinical research sites, groups, and studies.
LUNG-07: Advancing Precision-Based Lung Cancer Screening: Implementation, AI-Guided Risk Stratification, and Biomarker Integration (CREST AI)
Sponsor: University of Illinois at Chicago
Summary
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.
Key Details
Gender
All
Age Range
50 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
2500
Start Date
2026-02
Completion Date
2038-02
Last Updated
2026-02-13
Healthy Volunteers
Yes
Conditions
Interventions
Sybil Artificial Intelligence (AI) screening
Low-dose CT scans will be analyzed using the Sybil Artificial Intelligence (AI) screening tool
Locations (3)
Breathe Chicago Center
Chicago, Illinois, United States
University of Illinois Cancer Center
Chicago, Illinois, United States
UI Health 55th and Pulaski Health Collaborative
Chicago, Illinois, United States