Clinical Trial

The Impact of AI Assistance on Radiologist Performance and Healthcare Costs in LDCT-Based Lung Cancer Screening

Recruiting
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Record status
This record was last updated June 26, 2025 (before its estimated October 31, 2025 completion). Its status may not reflect the trial's current state.
Summary
AI diagnostic systems show great promise for improving lung cancer screening in community healthcare settings. While not originally designed for primary care, these tools demonstrate capabilities in nodule detection and workflow optimization. However, their effectiveness in resource-limited community centers requires thorough evaluation. This RCT compares AI-assisted versus manual CT interpretation across community health centers. Expert radiologists will establish reference standards, while an independent committee blindly evaluates cases from both groups. The study assesses diagnostic accuracy, operational efficiency, and cost-effectiveness, with blinded analysts resolving discrepancies through consensus to ensure reliable results.
Protocol Amendment History 2 amendments
This ClinicalTrials.gov record has been amended 2 times since 2025-05-23; most recent amendment 2025-06-23.
Trial Details
NCT Number NCT06988579
Lead Sponsor The First Affiliated Hospital of Guangzhou Medical University
Conditions Lung Cancer, Artificial Intelligence (AI), Randomized Controlled Trial
Enrollment 7,294 participants
Start Date 2024-07-01
Primary Completion 2025-10-31 (estimated)
Study Completion 2026-01-07 (estimated)
Updated on ClinicalTrials.gov 2025-06-26