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Study identifier: NCT06910956 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Lung Cancer · Health Screening · Early Cancer Detection  ·  Sponsor: Massachusetts General Hospital

PhaseNA
Planned participants1500
Who can joinAll sexes, 50 Years to 77 Years
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Michael T Lu, MD, MPH  ·  617-726-1255  ·  mlu@mgh.harvard.edu

Always discuss trial participation with your own doctor first.

Locations (1)

Massachusetts General HospitalBoston, Massachusetts, United StatesRecruiting

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Source record: clinicaltrials.gov/study/NCT06910956