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RECRUITING
NCT07458425
NA

The SENTINL-1 Study: Evaluating Patient-Reported Outcomes of AI-Inferred Lung Cancer Risk

Sponsor: University of Illinois at Chicago

View on ClinicalTrials.gov

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

DIAGNOSTIC_TEST

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

DIAGNOSTIC_TEST

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