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

NCT06910956 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1500

Last updated 2026-05-11

No results posted yet for this study

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. 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.

Conditions

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

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.

Sponsors & Collaborators

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
50 Years
Max Age
77 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-05-20
Primary Completion
2027-07-01
Completion
2027-07-01

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06910956 on ClinicalTrials.gov