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Validation of an AI-Assisted Mediastinal EUS System for Training Improvement: a Prospective, Multi-Center, Randomized Trial

NCT06790108 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2025-01-23

No results posted yet for this study

Summary

The goal of this clinical trial is to verify the auxiliary role of the artificial intelligence (AI) system in mediastinal endoscopic ultrasound (EUS) scans. The main questions it aims to answer are as follows:

1. A comparison of the image recognition accuracy between the AI system and EUS endoscopists.
2. Whether the AI system can improve the quality of mediastinal scans for EUS endoscopists.

Participants will conduct mediastinal EUS with or without the assistance of the AI system.

Conditions

  • Mediastinal Disease

Interventions

DEVICE

Artificial intelligence device

This AI device can provide prompts for standard sites of pancreatic scans and anatomical structures. It may also suggest the next operation methods.

Sponsors & Collaborators

  • ZhuZhou Central Hospital

    collaborator OTHER

  • The First Affiliated Hospital of University of South China

    collaborator OTHER

  • The First People's Hospital of Chenzhou

    collaborator UNKNOWN

  • the Affiliated Nanhua Hospital, University of South China

    collaborator UNKNOWN

  • The Third Xiangya Hospital of Central South University

    lead OTHER

Principal Investigators

  • Xiaoyan Wang, Doctor · The Third Xiangya Hospital of Central South University

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
TRIPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-01-15
Primary Completion
2025-12-31
Completion
2026-06-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06790108 on ClinicalTrials.gov