LEAF (Liver Tumor dEtection And classiFication AI)

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

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

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