Clinical Trial

LEAF (Liver Tumor dEtection And classiFication AI)

Study acronym: LEAF
Recruiting
View on ClinicalTrials.gov →
Record status
This record was last updated July 17, 2026 (before its estimated August 10, 2026 completion). Its status may not reflect the trial's current state.
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.
Protocol Amendment History 8 changes
critical Primary endpoint(s) modified 2026-07-19
notable Enrollment increased: 1500 -> 2500 participants 2026-07-19
critical Trial status changed: Active, Not Recruiting → Recruiting 2026-07-16
critical Primary endpoint(s) modified 2026-07-16
notable Primary completion pushed: 2025-10-31 -> 2026-07-22 2026-07-16
minor Completion moved earlier: 2030-09-15 -> 2026-10-22 2026-07-16
notable Enrollment reduced: 10000 -> 1528 participants 2026-07-08
notable Primary completion moved earlier: 2026-03-01 -> 2025-10-31 2026-04-24
Trial Details
NCT Number NCT06859840
Lead Sponsor Zhejiang University
Conditions Liver Malignancy
Enrollment 2,500 participants
Start Date 2026-07-17
Primary Completion 2026-08-10 (estimated)
Study Completion 2026-11-10 (estimated)
Updated on ClinicalTrials.gov 2026-07-17