NCT06910956

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

Deep Learning Using Routine Chest X-Rays and Electronic Medical Record Data to Identify High Risk Patients for Lung Cancer Screening CT

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,500 (estimated)
• Sponsor: Massachusetts General Hospital · Academic / Other
• Sex: All
• Age: 50 Years – 77 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Lung Cancer
• Health Screening
• Early Cancer Detection
• Deep Learning

Interventions

Type	Name	Description
OTHER	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.

Timeline

• Start date: 2025-05-20
• Primary completion: 2027-07-01
• Completion: 2027-07-01
• First posted: 2025-04-04
• Last updated: 2025-06-10

Locations

1 site across 1 country: United States