Usefulness of Artificial Intelligence (AI) for Gastric Intestinal Metaplasia Diagnosis
Artificial intelligence
Diagnostic Study
Summary
Study start date: May 1, 2020
Actual date on which the first participant was enrolled.The patients with previously diagnose gastric intestinal metaplasia (GIM) and have the surveillance gastroscopy will be enrolled. The routine surveillance program will be performed additional to taking photo at both GIM and normal mucosa at least 5 pictures in each. Biopsy will be done to confirm the diagnosis of GIM and normal mucosa. All pictures will be inserted to AI algorithm based on the convolutional neural network (CNN). Then, the AI program will be validated in daily endoscopy compared with pathology. Accuracy, sensitivity and specificity can be calculated by 2x2 table.
Protocol
This section provides details of the study plan, including how the study is designed and what the study is measuring.120 patients to be enrolled
Total number of participants that the clinical trial aims to recruit.Diagnostic Study
Eligibility
Researchers look for people who fit a certain description, called eligibility criteria: person's general health condition or prior treatments.Any sex
Biological sex of participants that are eligible to enroll.Over 18 Years
Range of ages for which participants are eligible to join.Healthy volunteers not allowed
If individuals who are healthy and do not have the condition being studied can participate.Criteria
Study Plan
Find out more about all the medication administered in this study, their detailed description and what they involve.One single intervention group is designated in this study
This study does not include a placebo group
Treatment Groups
Group I
ExperimentalStudy Objectives
Primary Objectives
Study Centers
These are the hospitals, clinics, or research facilities where the trial is being conducted. You can find the location closest to you and its status.This study has 1 location