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Automatic Real-time Diagnosis of Gastric Mucosal Disease Using pCLE With Artificial Intelligence

NCT03784209 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 951

Last updated 2022-04-01

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 gastric mucosal disease during ongoing endoscopy examination. However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

Conditions

  • Gastric Diseases
  • Artificial Intelligence
  • Confocal Laser Endomicroscopy

Interventions

DIAGNOSTIC_TEST

The diagnosis of Artificial Intelligence and endoscopist

When suspected lesion is observed using pCLE, endoscopist and AI will make a diagnosis independently. In addition, the endoscopist can not see the diagnosis of AI.

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Yanqing Li · Qilu Hospital, Shandong University

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-07-01
Primary Completion
2021-09-29
Completion
2021-09-29

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 NCT03784209 on ClinicalTrials.gov