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Clinical Research on a Novel Deep-learning Based System in Mediastinal Endoscopic Ultrasound Scanning

NCT05792280 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 180

Last updated 2025-03-13

No results posted yet for this study

Summary

The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in mediastinal ultrasound endoscopic scanning. The main questions it aims to answer are as follows: 1.The comparison of the image recognition accuracy between the artificial intelligence system and the ultrasound endoscopist; 2. Whether the artificial intelligence system can improve the integrity and efficiency of the mediastinum scanning for the ultrasound endoscopist. Participants will undergo mediastinal EUS with or without the assistance of the artificial intelligence system.

Conditions

  • Mediastinum Disease

Interventions

DEVICE

AI system

Patients will undergo EUS examination with the assistance of AI system.

Sponsors & Collaborators

  • 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
OTHER
Masking
DOUBLE
Model
PARALLEL

Eligibility

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

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2025-03-30
Completion
2025-04-10

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 NCT05792280 on ClinicalTrials.gov