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LEAF(Liver Tumor dEtection And classiFication AI)

RECRUITINGN/ASponsored by Zhejiang University
Actively Recruiting
PhaseN/A
SponsorZhejiang University
Started2026-07-15
Est. completion2026-07-22
Eligibility
Age18 Years – 90 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06859840

Summary

This study aims to assess the feasibility of leveraging non-contrast CT and artificial intelligence to detect liver cancer in consecutive real-world patients. To this end, we deploy LEAF in a prospective real-world clinical setting for real-time monitoring, with a particular focus on flagging cases with liver cancer that may be missed by routine clinical workflow.

Eligibility

Age: 18 Years – 90 YearsHealthy volunteers accepted
Inclusion Criteria:

Age range 18 years and above; Underwent non-contrast chest or abdominal CT examination with liver coverage Patients with an established diagnosis of cirrhosis Patients with an established diagnosis of extrahepatic cancer

Exclusion criteria:

Patients who have been diagnosed with malignant liver tumor Patients who underwent liver transplantation. Low quality image, severe artifacts and noise

Conditions5

CancerHepatocellular CarcinomaLiver CancerLiver DiseaseLiver Malignancy

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Trial data from ClinicalTrials.gov. Trial status and eligibility can change — verify directly with the study contact or on ClinicalTrials.gov.

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