Actively Recruiting
Validation of an AI-Assisted Mediastinal EUS System for Training Improvement: a Prospective, Multi-Center, Randomized Trial
Led by The Third Xiangya Hospital of Central South University · Updated on 2025-01-23
200
Participants Needed
1
Research Sites
75 weeks
Total Duration
On this page
Sponsors
T
The Third Xiangya Hospital of Central South University
Lead Sponsor
Z
ZhuZhou Central Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Validation of an AI-Assisted Mediastinal EUS System for Training Improvement: a Prospective, Multi-Center, Randomized Trial
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 years or older and younger than 80 years
- Patients who need endoscopic ultrasonography
- Agree to participate in this study and sign the informed consent form
You will not qualify if you...
- Poor physical condition including hemoglobin less than or equal to 8.0 g/dl or severe cardiopulmonary insufficiency
- Failed anesthesia assessment
- Pregnancy or breastfeeding
- Acute stage of chemical and corrosive injury with high risk of perforation
- Recent acute coronary syndrome or unstable ischemic heart attack
- Heart disease with right-to-left shunt or severe pulmonary hypertension (pulmonary artery pressure over 90 mmHg)
- Uncontrolled systemic hypertension
- Adult respiratory distress syndrome
- Refusal to participate in the study
- Mediastinal lesions previously treated by surgery, radiotherapy, or chemotherapy
- Mental illness, drug addiction, inability to express themselves, or other diseases that may affect follow-up
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
The Third Xiangya Hospital of Central South University
Changsha, Hunan, China, 410000
Actively Recruiting
Research Team
X
Xiaoyan Wang, Doctor
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
TRIPLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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