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AI-Assisted Real-Time Endoscopic Characterization of Diminutive Colorectal Polyps in Non-Academic Hospitals
Sponsor: Shanghai Jiao Tong University School of Medicine
Summary
To validate the feasibility of promoting colorectal diminutive polyp "predict, resect, and discard" and "diagnose and leave" strategies for non-experts in general hospitals through CADx system.
Official title: Artificial Intelligence-assisted Optical Diagnosis for the Resect-and-discard Strategy in Clinical Practice in Non-academic Hospitals: a Randomized Controlled Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
363
Start Date
2026-02-15
Completion Date
2026-11-15
Last Updated
2026-01-23
Healthy Volunteers
No
Conditions
Interventions
AI-Assisted Real-time Endoscopic Diagnosis System
CADx assists endoscopists in diagnosing colorectal diminutive polyps (\<=5cm) during colonoscopy using narrow-band imaging (NBI). The system provides real-time prediction values of NICE classification for colorectal polyp. The intervention group receives AI-assisted diagnostic information displayed
Locations (2)
Nantong First People's Hospital
Nantong, Jiangsu, China
Wuxi Ninth People's Hospital
Wuxi, Jiangsu, China