The goal of this observational study is to evaluate the effectiveness of an AI-based reporting system for upper gastrointestinal endoscopy. The main question it aims to answer is: Whether the AI-based reporting system can improve the completeness of the reports, which are drafted by endoscopists with the AI assistance. Participants will undergo upper gastrointestinal endoscopy examination as routine. The junior endoscopists will draft the report with the assiatance of the AI system. And the senior and expert endoscopists will draft the report using the traditional reporting system without AI assistance.
Study Type
OBSERVATIONAL
Enrollment
100
Renmin Hospital of Wuhan University
Wuhan, Hubei, China
RECRUITINGCompleteness of reporting lesions
Calculation method = number of report lesions / total number of lesions x 100%
Time frame: one month
Completeness of report drafting on lesion features
Calculation method = number of drafted features of lesions / total number of features required to be drafted x 100%
Time frame: one month
Accuracy of report drafting on lesion features
Calculation method = number of accurately drafted features of lesions / total number of drafted features x 100%
Time frame: one month
Reporting time
The time that endoscopists draft reports
Time frame: one month
Completeness of reporting lesions of AI system
Calculation method = number of report lesions / total number of lesions x 100%
Time frame: one month
Accuracy of report drafting on lesion features of AI system
Calculation method = number of accurately drafted features of lesions / total number of drafted features x 100%
Time frame: one month
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