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Development and Validation of an Artificial Intelligence-based Biliary Stricture Navigation System in MRCP-based ERCP

NCT04903444 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 62

Last updated 2021-06-04

No results posted yet for this study

Summary

In this study, the investigators proposed an artificial intelligence-based biliary stricture navigation system in MRCP-based ERCP, which can instruct the direction of guide wire and the position of stent placement in real time.

Conditions

  • Gastrointestinal Disease
  • Endoscopy
  • Artificial Intelligence
  • Endoscopic Retrograde Cholangiopancreatography

Interventions

DEVICE

Artificial intelligence assistant system

The endoscopists in the experimental group will be assisted by AI system, which can instruct the direction of guide wire and the position of stent placement in real time. The system is an non-invasive AI system .

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Principal Investigators

  • Honggang Yu Yu, Doctor · Renmin Hospital of Wuhan University

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-05-27
Primary Completion
2022-06-01
Completion
2022-07-01

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 NCT04903444 on ClinicalTrials.gov