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

Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Not Applicable
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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: t
View:

• 1\. Age ≥18 years old, \<80 years old 2.Patients who need endoscopic ultrasonography; 3. Agree to participate in this study and sign the informed consent form.

Locations
Other Locations
China
The Third Xiangya Hospital of Central South University
RECRUITING
Changsha
Contact Information
Primary
Xiaoyan Wang, Doctor
wxy20011@163.com
+8613974889301
Backup
Shiqin Huang, MD
sqhuang0213@163.com
+8618308312098
Time Frame
Start Date: 2021-01-01
Estimated Completion Date: 2025-04-10
Participants
Target number of participants: 180
Treatments
Experimental: AI-assisted group
Subjects will undergo EUS examination with the assistance of AI system.
No_intervention: non-assisted group
Subjects will undergo EUS examination without the assistance of AI system
Related Therapeutic Areas
Sponsors
Leads: The Third Xiangya Hospital of Central South University

This content was sourced from clinicaltrials.gov