Status:
COMPLETED
Interventional AI-Human Collaboration for Liver Tumor Diagnosis
Lead Sponsor:
Shengjing Hospital
Conditions:
Hepatocellular Carcinoma (HCC)
Intrahepatic Cholangiocarcinoma (Icc)
Eligibility:
All Genders
18+ years
Phase:
NA
Brief Summary
Recent advances in artificial intelligence (AI), particularly deep learning technology, have transformed medical imaging analysis. AI systems have demonstrated diagnostic performance comparable to or ...
Detailed Description
This study aims to evaluate the effectiveness of AI-human collaboration in liver tumor diagnosis by embedding real-time AI analysis into conventional multiphasic contrast-enhanced CT (CE-CT) workflows...
Eligibility Criteria
Inclusion
- Age range 18 years and above
- Underwent dynamic contrast-enhanced abdominal CT examination with liver coverage
- Imaging must include at least three required phases: non-contrast, arterial phase, and venous phase; an delayed phase is optional
- Complete imaging data that meet AI system analysis requirements.
Exclusion
- History of recent upper-abdominal surgery (within 30 days) or major hepatobiliary-pancreatic surgery affecting liver evaluation (e.g., liver transplantation or Whipple procedure); patients with prior simple cholecystectomy or single-lesion interventional procedures are not excluded
- History of recent hepatic trauma (within 30 days)
- Poor image quality or severe noise artifacts (e.g., metal or motion artifacts)
- Missing required imaging phases (required at least non-contrast, arterial, and venous phases) or inadequate scan range (e.g., lower-abdomen CT such as pelvic or rectal scans not covering the liver)
Key Trial Info
Start Date :
September 1 2025
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
November 7 2025
Estimated Enrollment :
10333 Patients enrolled
Trial Details
Trial ID
NCT07153783
Start Date
September 1 2025
End Date
November 7 2025
Last Update
November 18 2025
Active Locations (1)
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1
Shengjing Hospital of China Medical University
Shenyang, Liaoning, China, 110004