LEAF(Liver Tumor dEtection And classiFication AI)

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.

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