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NOT YET RECRUITING
NCT07408531
NA

LUNG-07: Advancing Precision-Based Lung Cancer Screening: Implementation, AI-Guided Risk Stratification, and Biomarker Integration (CREST AI)

Sponsor: University of Illinois at Chicago

View on ClinicalTrials.gov

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

Interventions

DIAGNOSTIC_TEST

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