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Automatic Classification of Colorectal Polyps Using Probe-based Endomicroscopy With Artificial Intelligence

NCT03787784 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2018-12-26

No results posted yet for this study

Summary

Probe-based confocal laser endomicroscopy (pCLE) is an endoscopic technique that enables real-time histological evaluation of gastrointestinal mucosa during ongoing endoscopy examination. It can predict the classification of Colorectal Polyps accurately. However this requires much experience, which limits the application of pCLE. The investigators designed a computer program using deep neural networks to differentiate hyperplastic from neoplastic polyps automatically in pCLE examination.

Conditions

  • Probe-based Confocal Laser Endomicroscopy
  • Artificial Intelligence
  • Colorectal Polyps

Interventions

OTHER

AI presentation

Automatic diagnosis information of AI is visible to endoscopist

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
TRIPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-05-01
Primary Completion
2019-01-30
Completion
2019-03-30

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 NCT03787784 on ClinicalTrials.gov