NCT05792267

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

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

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 200 (estimated)
• Sponsor: The Third Xiangya Hospital of Central South University · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

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.

Detailed description

In this study, 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, the completeness of standard sites and scanning time of endoscopic-assisted and non-assisted AI systems were compared.

Conditions

• Pancreatic Disease

Interventions

Type	Name	Description
DEVICE	artificial intelligence system	Patients will undergo EUS examination with the assistance of artificial intelligence(AI) system.

Timeline

• Start date: 2021-01-01
• Primary completion: 2024-06-30
• Completion: 2025-06-30
• First posted: 2023-03-31
• Last updated: 2025-02-12

Locations

1 site across 1 country: China