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NCT05631015
Artificial Intelligence for Determination of Gastroscopy Surveillance Intervals
Conditions: Helicobacter Pylori Infection, Atrophic Gastritis, Intestinal Metaplasia, Low Grade Intraepithelial Neoplasia, High Grade Intraepithelial Neoplasia, Early Gastric Cancer, Gastric Cancer
Sex: All
Ages: 18 Years – 80 Years
Enrollment: 2000
Sponsor: Xiuli Zuo
Location: China
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
Eligibility Criteria
Inclusion Criteria:Patients aged 18 - 80 yearsPatients underwent endoscopic examinationExclusion Criteria:Patients with the contraindications to endoscopic examinationPatients with imcomplete examination informationPatients undergo endoscopy for therapyPatients have history of upper gastrointestinal surgeryPatients with duodenal or Laryngeal neoplasmsPatients with gastrointestinal submucosal tumor
Source: ClinicalTrials.gov (NCT05631015). StuddyBuddy aggregates publicly available trial information.
