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Recruiting
NCT07926672
Artificial Intelligence-Assisted Imaging for Diagnosis and Management of Focal Liver Lesions
Conditions: Focal Liver Lesions
Sex: All
Ages: 18 Years – 75 Years
Healthy volunteers: No
Phase: NA
Enrollment: 10000
Sponsor: Sun Yat-sen University
Location: The First Affiliated Hospital, Sun Yat-sen University Guangzhou Guangdong
Summary
This study aims to evaluate the clinical value of artificial intelligence (AI)-assisted medical imaging in the diagnosis and management of focal liver lesions. Accurate diagnosis of focal liver lesions is important for selecting appropriate treatment strategies. However, distinguishing between different types of liver lesions can be challenging because of overlapping imaging features. AI-based imaging systems may help improve diagnostic accuracy and support clinical decision-making.
Eligibility Criteria
Inclusion Criteria:
* Patients aged 18-75 years.
* Patients undergoing clinically indicated liver computed tomography (CT) examinations.
Exclusion Criteria:
-Liver CT examinations that do not meet the predefined technical requirements or are nondiagnostic because of severe imaging artifacts.
Source: ClinicalTrials.gov (NCT07926672). StuddyBuddy aggregates publicly available trial information.