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

Recruiting now · Not applicable

Conditions studied: Lung Cancer Screening

In brief

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 facts

Study ID
NCT07408531
Run by
University of Illinois at Chicago
People needed
2500
Starts
2026-03-12
Expected to finish
2038-03-01
Last updated by the study team
2026-08-06

Who can join

Age: 50 and older, up to 80. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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