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The SENTINL-1 Study: Evaluating Patient-Reported Outcomes of AI-Inferred Lung Cancer Risk
Sponsor: University of Illinois at Chicago
Summary
This is a two-cohort (screen naïve vs screen established), prospective, longitudinal, single-center clinical study design that will provide data to comprehensively evaluate patient-reported outcomes of Artificial Intelligence (AI) based prediction of an individual's risk of developing lung cancer over the next 3 years.
Official title: Systemwide Early Notification Tool for ImmineNt Lung Cancer-1 Study: Evaluating Patient-Reported Outcomes of Artificial Intelligence Inferred Lung Cancer Risk
Key Details
Gender
All
Age Range
50 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
400
Start Date
2026-03-11
Completion Date
2029-01
Last Updated
2026-04-06
Healthy Volunteers
Yes
Conditions
Interventions
Artificial Intelligence (AI) test
Individuals eligible for lung cancer screening by the USPSTF who have never undergone lung cancer screening with low-dose CT will receive a regulatory cleared laboratory developed blood test for lung cancer screening, circulating DNA fragmentomics
Research-use-only multimodal AI risk model
For USPSTF-eligible individuals who have already received low-dose CT screening, these individuals will receive a research-use-only (RUO) multimodal artificial intelligence risk prediction based on lung screening CT imaging and clinical features.
Locations (1)
University of Illinois at Chicago
Chicago, Illinois, United States