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AI-Assisted Real-Time Endoscopic Characterization of Diminutive Colorectal Polyps in Non-Academic Hospitals

NCT07362524 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 363

Last updated 2026-01-23

No results posted yet for this study

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.

Conditions

  • Colorectal Polyps

Interventions

DEVICE

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

Sponsors & Collaborators

  • Shanghai Jiao Tong University School of Medicine

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-15
Primary Completion
2026-11-15
Completion
2026-11-15

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07362524 on ClinicalTrials.gov