Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT
NCT06910956
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
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.
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Lung Cancer
- Health Screening
- Early Cancer Detection
- Deep Learning
Eligibility basics and study details
- Study type
- Interventional
- Phase
- Not applicable
- Ages
- 50 to 77 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Sponsor
- Massachusetts General Hospital
- Last updated on ClinicalTrials.gov
- May 11, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
Massachusetts · 1
- Massachusetts General Hospital · Boston, MA
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.