AI Test for Lung Cancer Risk
What You Need to Know Before You Apply
What is the purpose of this trial?
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.
Who Is on the Research Team?
Ameen Salahudeen, MD, PhD
Principal Investigator
University of Illinois at Chicago
Are You a Good Fit for This Trial?
Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Intervention
Participants receive AI-based lung cancer risk prediction tests and return of results
Follow-up
Participants are monitored for patient-reported outcomes and adherence to LDCT and smoking cessation
What Are the Treatments Tested in This Trial?
Interventions
- AI-Inferred Lung Cancer Risk Prediction
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
In this study, screen-naïve participants are individuals who are eligible for lung cancer screening but have never previously undergone low-dose CT (LDCT) screening. These participants will receive a regulatory cleared laboratory developed test for lung cancer screening, circulating DNA fragmentomics.
Screen-established participants are individuals who are currently undergoing or have previously undergone LDCT screening. These participants will receive a research-use-only (RUO) multimodal artificial intelligence risk prediction based on lung screening CT imaging and clinical features.
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Illinois at Chicago
Lead Sponsor
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