Actively Recruiting
Clinical Research on a Novel Deep-learning Based System in Mediastinal Endoscopic Ultrasound Scanning
Led by The Third Xiangya Hospital of Central South University · Updated on 2025-03-13
180
Participants Needed
1
Research Sites
222 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Clinical Research on a Novel Deep-learning Based System in Mediastinal Endoscopic Ultrasound Scanning
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 years or older and younger than 80 years
- Patients who require endoscopic ultrasonography
- Agree to participate and sign the informed consent form
You will not qualify if you...
- Poor physical condition including hemoglobin ≤8.0 g/dl or severe cardiopulmonary insufficiency
- Failed anesthesia assessment
- Pregnancy or breastfeeding
- Acute stage of chemical or corrosive injury with risk of perforation
- Recent acute coronary syndrome or unstable ischemic heart attack
- Heart diseases such as right-to-left shunt, severe pulmonary hypertension (pulmonary artery pressure > 90 mmHg), uncontrolled systemic hypertension, or adult respiratory distress syndrome
- Refusal to participate in the study
- Prior surgery, radiotherapy, or chemotherapy for mediastinal lesions
- Mental illness, drug addiction, inability to communicate, or other conditions affecting follow-up or study results
AI-Screening
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Trial Site Locations
Total: 1 location
1
The Third Xiangya Hospital of Central South University
Changsha, Hunan, China, 410013
Actively Recruiting
Research Team
X
Xiaoyan Wang, Doctor
CONTACT
S
Shiqin Huang, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
OTHER
Number of Arms
2
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