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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
TRIPLE
Enrollment
200
This AI device can provide prompts for standard sites of pancreatic scans and anatomical structures. It may also suggest the next operation methods.
The Third Xiangya Hospital of Central South University
Changsha, Hunan, China
RECRUITINGThe completeness for standard station scanning
The primary outcome measure was the completeness for standard station scanning of EUS by endoscopists in the two groups. This was calculated as the number of stations successfully scanned divided by the total number of stations that should have been scanned.
Time frame: 1 year
The completeness of anatomical structure scanning
It calculated as the number of anatomical structures successfully scanned divided by the total number of structures that should have been scanned.
Time frame: 1 year
Procedure time
It defined as the observation time only, excluding the time spent on puncture, elastography, contrast-enhanced ultrasound, or other lesion observation or treatment.
Time frame: 1 year
The incidence of adverse events
The incidence of adverse events in both groups during the entire research process.
Time frame: 1 year
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