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

Pancreatic Disease Clinical Trial

Official title:
Clinical Research on Navigation and Quality Control System of Pancreatic Ultrasound Endoscopy Based on Deep Learning

Clinical Trial Summary

The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in pancreatic 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 efficiency of the pancreatic scanning for the ultrasound endoscopist. Participants will undergo pancreatic EUS with or without the assistance of the artificial intelligence system.

Clinical Trial Description

In this study, a total of 200 cases of pancreatic endoscopic ultrasound scanning videos and images will be collected. First of all, an artificial intelligence system based on deep learning for the navigation and quality control of pancreatic endoscopic ultrasonography will be established. Secondly, the artificial intelligence system will be used to identify the site and anatomical structure of the pancreatic ultrasound endoscopy, and the results of the artificial intelligence system's station recognition will be compared with the results of the endoscopist's station recognition. Finally, compare the image recognition speed, image recognition accuracy and precision of endoscopists with and without the assistance of artificial intelligence system. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05792267
Study type Interventional
Source The Third Xiangya Hospital of Central South University
Contact Xiaoyan Wang, Doctor
Phone +8613974889301
Email wxy20011@163.com
Status Recruiting
Phase N/A
Start date December 1, 2022
Completion date January 31, 2024
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