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NCT07042841

AI-Driven Quantitative Decision and Surgical Planning System for Liver Cancer

ENROLLING BY INVITATION Last updated 29 June 2025
What this trial tests

trial in Liver Cancer, Adult in 300 participants. Enrolling by invitation.

Timeline
30 June 2015
Primary endpoint
30 December 2024
30 October 2027

Quick facts

Lead sponsorBeijing Tsinghua Chang Gung Hospital
StatusENROLLING BY INVITATION
Study typeOBSERVATIONAL
Enrollment300
Start date30 June 2015
Primary completion30 December 2024
Estimated completion30 October 2027
Sites1 location across China

Conditions studied

Sponsor

Beijing Tsinghua Chang Gung Hospital

Who can join

18 and older, any sex, with Liver Cancer, Adult. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This study aims to develop and validate an integrated AI-powered system for liver cancer that includes intelligent tumor boundary detection, micro-metastasis prediction, staging, treatment decision-making, and surgical planning. The system builds upon prior 3D reconstructions of liver, vessels, and bile ducts. In a retrospective multi-center, self-controlled, fully crossed multi-reader multi-case clinical trial, the researchers will compare diagnostic accuracy, staging, and planning performance between AI-assisted reads and conventional reads using CT images and pathological gold standards.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Liver Cancer, Adult

Currently open trials in the same condition.

Other Beijing Tsinghua Chang Gung Hospital trials

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07042841.

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