Apply to trial NCT07408531

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

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.

How this works

  1. Answer a few questions

    About 5 to 10 minutes. Skip-friendly where possible.

  2. We forward your profile to the study team

    They see only the answers needed to decide if you can be screened.

  3. The team reaches out to schedule screening

    Usually within a few business days, via the contact you give.

We save your progress under this email so you can come back later, and the study team uses it to reach you.

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