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Assessing AI for Detecting Lung Nodules and Cancer: Pre- and Post-Deployment Study

NCT06746324 · Status: WITHDRAWN · Type: OBSERVATIONAL

Last updated 2025-09-15

No results posted yet for this study

Summary

The study evaluates the impact of qXR-LN compared to standard radiologist-only interpretations before and after AI deployment. The goal is to compare how well lung nodules and cancers are detected in two time periods: before and after the implementation of the AI tool in routine clinical practice. The study aims to determine whether the AI system can help radiologists identify more actionable lung nodules and diagnose lung cancer earlier, ultimately improving patient outcomes.

No changes will be made to patients' standard care, and all treatment decisions will be based on the clinical judgment of physicians. The study includes patients over 35 years old who undergo chest X-rays for various medical reasons, excluding those with known lung cancer.

Conditions

Sponsors & Collaborators

  • University of Florida

    lead OTHER

Eligibility

Min Age
35 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-05-15
Primary Completion
2026-03-15
Completion
2026-06-15

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Diseases

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 NCT06746324 on ClinicalTrials.gov