Clinical Research Directory
Browse clinical research sites, groups, and studies.
AI-assisted Endoscopic Ultrasound Grading of Early Esophageal Cancer Invasion Depth: A Multicenter, Prospective, Randomized Cohort Study
Sponsor: Fujian Provincial Hospital
Summary
This study mainly uses an artificial intelligence system to assist in the classification of the depth of invasion of early esophageal squamous cell carcinoma under ultrasound endoscopy, providing a basis for preoperative T staging and diagnosis and treatment decisions.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
200
Start Date
2025-11-20
Completion Date
2028-12-31
Last Updated
2025-11-26
Healthy Volunteers
No
Interventions
Artificial Intelligence system
Use artificial intelligence to assist in the determination of the invasion depth of early esophageal squamous cell carcinoma under endoscopic ultrasound
Locations (5)
Fujian provincial hospital
Fuzhou, Fujian, China
Affiliated Hospital of Putian University
Putian, Fujian, China
Putian First Hospital
Putian, Fujian, China
Putian Hospital of Traditional Chinese Medicine
Putian, Fujian, China
Xianyou County General Hospital
Putian, Fujian, China