# Multimodal Imaging Diagnosis and Decision Aid System for Hepatic Echinococcosis Based on Image Omics and Vision Macromodel

> **NCT06540742** · — · COMPLETED · sponsor: **Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University** · enrollment: 1000 (actual)

## Conditions studied

- Hepatic Echinococcosis

## Interventions

- **DIAGNOSTIC_TEST:** Artificial intelligence identifies liver hydatids

## Key facts

- **NCT ID:** NCT06540742
- **Lead sponsor:** Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2023-09-30
- **Primary completion:** 2024-09-12
- **Final completion:** 2024-09-12
- **Target enrollment:** 1000 (ACTUAL)
- **Last updated:** 2024-09-19


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06540742

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06540742, "Multimodal Imaging Diagnosis and Decision Aid System for Hepatic Echinococcosis Based on Image Omics and Vision Macromodel". Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/clinical/NCT06540742. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*
