LEAF(Liver Tumor dEtection And classiFication AI)
NCT: NCT06859840 · ACTIVE_NOT_RECRUITING
Brief Summary
This study plans to utilize multiphase contrast-enhanced and non-contrast CT（Computed Tomography） images from 10000 pathologically confirmed liver tumor patients at our hospital. An AI（artificial intelligence） model will be used to outline the 3D contours of liver masses, which will then be refined by radiologists and hepatobiliary-pancreatic surgeons to enhance model accuracy. By incorporating more imaging data, the model's recognition capabilities will be improved, laying the groundwork for prospective clinical trials and aiming to establish a superior AI model for early liver cancer screening based on CT imaging.
Frequently Asked Questions
What is LEAF(Liver Tumor dEtection And classiFication AI)?
LEAF(Liver Tumor dEtection And classiFication AI) is a clinical trial registered under NCT06859840. Current status: ACTIVE_NOT_RECRUITING.
What is the status of NCT06859840?
The current status of NCT06859840 (LEAF(Liver Tumor dEtection And classiFication AI)) is: ACTIVE_NOT_RECRUITING.
When did LEAF(Liver Tumor dEtection And classiFication AI) start?
LEAF(Liver Tumor dEtection And classiFication AI) started on 2025-07-15.
Official Source
View on ClinicalTrials.gov →Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.