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Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT
Sponsor: Massachusetts General Hospital
Summary
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. If there is a comparison group: Researchers will compare intervention and non-intervention arms to determine if lung cancer screen CT participation increases.
Official title: Deep Learning Using Routine Chest X-Rays and Electronic Medical Record Data to Identify High Risk Patients for Lung Cancer Screening CT
Key Details
Gender
All
Age Range
50 Years - 77 Years
Study Type
INTERVENTIONAL
Enrollment
1500
Start Date
2025-05-20
Completion Date
2027-07-01
Last Updated
2025-06-10
Healthy Volunteers
No
Interventions
CXR-LC
Alert to provider to discuss lung cancer screening CT eligibility, for patients considered at high risk of lung cancer based on CXR-LC AI tool.
Locations (1)
Massachusetts General Hospital
Boston, Massachusetts, United States