LEAF (Liver Tumor dEtection And classiFication AI)
Recruiting
N/A
Interventional Study
Liver Malignancy
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
Healthy Volunteers Welcome
You do not need to have the condition being studied to take part.
At a Glance
- Age
- 18 – 90
- Sex
- Any
- Study type
- Interventional
- Purpose
- Diagnostic
- Participants needed
- 2,500 (estimated)
- Sponsor
- Zhejiang University · Other
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About This Trial
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.
Trial Locations
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Eligibility Criteria
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 diagnos…
Contacts