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Evaluation of AI-assisted LDCT Screening in Lung Cancer
Sponsor: Taipei Veterans General Hospital, Taiwan
Summary
This multicenter pragmatic randomized controlled trial evaluates whether AI-assisted interpretation of low-dose CT (LDCT) improves lung cancer screening performance compared with standard reading. Eligible participants are randomized to AI-assisted or conventional interpretation. The study assesses diagnostic accuracy, efficiency, lung cancer incidence, mortality, recurrence, and smoking cessation outcomes. Results will inform the clinical utility and potential implementation of AI-assisted LDCT in routine screening practice.
Official title: Evaluation of AI Medical Software-assisted LDCT Interpretation in Lung Cancer Screening and Prognosis: a Randomized Controlled Trial
Key Details
Gender
All
Age Range
40 Years - 74 Years
Study Type
INTERVENTIONAL
Enrollment
1120
Start Date
2025-12-11
Completion Date
2031-12-31
Last Updated
2025-12-12
Healthy Volunteers
Yes
Conditions
Interventions
AI-assisted Low-Dose CT Interpretation
Participants undergo low-dose computed tomography (LDCT) lung cancer screening. The images are first interpreted by AI-assisted software, which highlights suspicious nodules. Radiologists then review the AI outputs and generate the final report.
Locations (1)
Taipei Veterans General Hospital
Taipei, Taiwan, Taiwan