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RECRUITING
NCT06910956
NA

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

Sponsor: Massachusetts General Hospital

View on ClinicalTrials.gov

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

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.

Locations (1)

Massachusetts General Hospital

Boston, Massachusetts, United States