UnknownNot Applicable

Artificial Intelligence for Determination of Gastroscopy Surveillance Intervals

China2,000 participantsStarted 2012-01-01

Plain-language 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

Who can participate

Age range18 Years – 80 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Patients aged 18 - 80 years * Patients underwent endoscopic examination Exclusion Criteria: * Patients with the contraindications to endoscopic examination * Patients with imcomplete examination information * Patients undergo endoscopy for therapy * Patients have history of upper gastrointestinal surgery * Patients with duodenal or Laryngeal neoplasms * Patients with gastrointestinal submucosal tumor

What they're measuring

The diagnostic accuracy of gastric diseases with deep learning algorithm

Timeframe: 12 month

The accuracy of recommentions for different disease with deep learning algorithm

Timeframe: 12 month

Trial details

NCT IDNCT05631015

SponsorXiuli Zuo

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2022-10-31

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