Using AI on Chest X-Rays and Medical Records to Find High-Risk Patients for Lung Cancer Screening CT

What this Trial Is About

Researchers are studying whether an artificial intelligence AI tool that alerts healthcare providers about patients at high risk for lung cancer based on chest X-ray images can increase participation in lung cancer screening using CT scans. The study focuses on patients aged 50 to 77 who currently or formerly smoked. It aims to see if the AI alert improves lung cancer screening CT participation within six months after a baseline outpatient visit. Participants will be randomly assigned to one of two groups an intervention group where providers receive an alert to discuss lung cancer screening CT eligibility based on the AI tool CXR-LC, and a non-intervention group without this alert. The study compares these groups to determine if the alert increases lung cancer screening CT participation. Some patients identified as high risk by the AI but not meeting Medicare or USPSTF criteria may be offered lung screening CT as part of the research. During the study, participants will have their lung cancer screening CT completion tracked within six months after their outpatient visit. Researchers will also monitor for suspicious lung nodules during this period. The study involves scheduled outpatient appointments and recent chest X-rays taken within two years. The total participation timeline includes these assessments and outcome measurements over six months following the baseline visit.

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