RecruitingNot ApplicableNCT06988579

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

Evaluation of AI-Assisted Versus Conventional Human Reading for Lung Cancer Screening in Community-Based Settings: A Randomized Controlled Trial


Sponsor

The First Affiliated Hospital of Guangzhou Medical University

Enrollment

7,294 participants

Start Date

Jul 1, 2024

Study Type

INTERVENTIONAL

Conditions

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.


Eligibility

Min Age: 40 YearsMax Age: 74 Years

Plain Language Summary

Simplified for easier understanding

This study is testing whether AI-assisted review of lung CT scans helps radiologists (doctors who read scans) find lung cancer more accurately and efficiently. You may be eligible if: - You are between 45 and 74 years old - You live permanently in one of the participating communities - You have never been diagnosed with lung cancer - You have not had a lung cancer screening CT scan in the past 3 months - You are able to understand the study, give your own consent, and attend follow-up appointments You may NOT be eligible if: - You have already been diagnosed with lung cancer - You have a serious health condition that makes CT scanning unsafe for you - You have cognitive impairment that prevents you from giving consent or understanding the study - You are currently participating in another clinical trial that could affect this study's results - You are not able to come to follow-up appointments Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERAI

An integrated AI-human collaborative workflow for lung cancer screening interpretation


Locations(1)

the First Affiliated Hospital of Guangzhou Medical University,

Guangzhou, Guangdong, China

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NCT06988579


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