Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT

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.

NCT Number	NCT06910956
Lead Sponsor	Massachusetts General Hospital Collaborators: Harvard Risk Management Foundation
Conditions	Lung Cancer, Health Screening, Early Cancer Detection, Deep Learning
Enrollment	1,500 participants
Start Date	2025-05-20
Primary Completion	2027-07-01 (estimated)
Study Completion	2027-07-01 (estimated)
Updated on ClinicalTrials.gov	2026-05-11