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Artificial Intelligence for Determination of Gastroscopy Surveillance Intervals

NCT05631015 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2022-11-30

No results posted yet for this study

Summary

The purpose of this study is to develop and validate a clinical decision support system based on automated algorithms. This system can use natural language processing to extract data from patients' endoscopic reports and pathological reports, identify patients' disease types and grades, and generate guidelines based follow-up or treatment recommendations

Conditions

  • Helicobacter Pylori Infection
  • Atrophic Gastritis
  • Intestinal Metaplasia
  • Low Grade Intraepithelial Neoplasia
  • High Grade Intraepithelial Neoplasia
  • Early Gastric Cancer
  • Gastric Cancer

Interventions

OTHER

AI recongnize disease and generate recommendations

According the endoscopic reports and pathological reports, the decision support system recognise patients' disease types and grades, and generate guidelines based survilliance or treatment recommendations.

Sponsors & Collaborators

  • Xiuli Zuo

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2012-01-01
Primary Completion
2022-10-31
Completion
2023-12-31

Countries

  • China

Study Locations

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Entities

Diseases

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 NCT05631015 on ClinicalTrials.gov