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Application of Artificial Intelligence for Early Diagnosis of Gastric Cancer During Optical Enhancement Magnifying Endoscopy

NCT04563416 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 80

Last updated 2020-09-24

No results posted yet for this study

Summary

Previous prospective randomized controlled study demonstrated higher accuracy rate of diagnosing early gastric cancers by Magnifying image-enhanced endoscopy than conventional white-light endoscopy. Nevertheless, it is difficult to differentiate early gastric cancer from noncancerous lesions for beginner. we developed a new computer-aided system to assist endoscopists in identifying early gastric cancers in magnifying optical enhancement images.

Conditions

  • Artificial Intelligence
  • Optical Enhancement Endoscopy
  • Magnifying Endoscopy

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Yanqing Li, PHD · Study Principal Investigator Qilu Hospital, Shandong University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-07-10
Primary Completion
2020-11-30
Completion
2020-12-30

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 NCT04563416 on ClinicalTrials.gov