Actively Recruiting
Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT
Led by Massachusetts General Hospital · Updated on 2026-05-11
1500
Participants Needed
1
Research Sites
110 weeks
Total Duration
On this page
Sponsors
M
Massachusetts General Hospital
Lead Sponsor
H
Harvard Risk Management Foundation
Collaborating Sponsor
AI-Summary
What this Trial Is About
The goal of this clinical trial is to evaluate whether an AI tool that alerts providers to patients at high 6-year risk of lung cancer based on their chest x-ray images will improve lung cancer screening CT participation. The main question it aims to answer is: Does the AI tool improve lung cancer screening CT participation at 6 months after the baseline outpatient visit? The intervention is an alert to the provider to discuss lung cancer screening CT eligibility, for patients considered at high risk of lung cancer based on CXR-LC AI tool. Intervention and non-intervention arms will be compared to determine if lung cancer screening CT participation increases. Individuals who are considered high-risk by the tool, but who do not meet the Medicare/USPSTF pack-year or quit-date lung screening eligibility criteria may be offered research lung screening CT.
CONDITIONS
Official Title
Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Scheduled outpatient appointment with participating provider
- Age between 50 and 77 years
- Current or former smoker, including those potentially eligible for lung screening based on Medicare guidelines
- Recent posteroanterior chest radiograph within 2 years
You will not qualify if you...
- History or signs/symptoms of lung cancer
- Chest CT scan within the last 2 years
- Clinical indication for chest CT other than lung cancer screening
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Massachusetts General Hospital
Boston, Massachusetts, United States, 02114
Actively Recruiting
Research Team
M
Michael T Lu, MD, MPH
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
SCREENING
Number of Arms
2
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