Evaluation of AI-assisted LDCT Screening in Lung Cancer
NCT07280559 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1120
Last updated 2025-12-12
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.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
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.
Sponsors & Collaborators
-
Far Eastern Memorial Hospital
collaborator OTHER -
Taipei Municipal Guandu Hospital
collaborator UNKNOWN -
Da Chien General Hospital
collaborator OTHER -
Kinmen Hospital, Ministry of Health and Welfare
collaborator UNKNOWN -
Ministry of Health and Welfare, Taiwan
collaborator OTHER_GOV -
Taipei Veterans General Hospital, Taiwan
lead OTHER_GOV
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 40 Years
- Max Age
- 74 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-12-11
- Primary Completion
- 2027-12-31
- Completion
- 2031-12-31
Countries
- Taiwan
Study Locations
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