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

StatusRecruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
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.

Record History

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  1. Start date changed from estimate of May 19, 2025 to Jul 1, 2024
    • Study title expanded, about 2 words
    v3
  2. Enrollment target: 95916 to 7294
    • Study description shortened, about 1 word
    • Study title shortened, about 1 word
    v2
  3. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT06988579
Lead Sponsor The First Affiliated Hospital of Guangzhou Medical University
Conditions
(from sponsor)		 Lung Cancer, Artificial Intelligence (AI), Randomized Controlled Trial
Related terms Lung Neoplasms
Enrollment 7,294 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov