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

Recruiting now · Not applicable

Conditions studied: Lung Cancer, Health Screening, Early Cancer Detection, Deep Learning

In brief

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.

Key facts

Study ID

NCT06910956

Run by

Massachusetts General Hospital

People needed

1500

Starts

2025-05-20

Expected to finish

2027-07-01

Last updated by the study team

2026-05-11

Who can join

Age: 50 and older, up to 77. Sex: any. Healthy volunteers: not accepted.

You may not qualify if…

• History or signs/symptoms of lung cancer. Recent (within 2 years) chest CT. Clinical indication for chest CT beyond lung cancer screening.

Where it is running

• Massachusetts General Hospital — Boston, Massachusetts, United States (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.