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Retrograde Cholangiopancreatography AI Assisted System Validation on Effectiveness and Safety

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clinicaltrials.gov/study/NCT04719117
Is a
‌
Clinical study
0

Clinical Study attributes

NCT Number
NCT047191170
Health Conditions in Trial
Endoscopy
Endoscopy
0
Gastrointestinal disease
Gastrointestinal disease
0
Trial Recruitment Size
1500
Trial Sponsor
‌
Renmin Hospital of Wuhan University
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Clinical Trial Start Date
September 1, 2020
0
Primary Completion Date
July 1, 2021
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Study Completion Date
December 31, 2021
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Clinical Trial Study Type
Observational0
Observational Clinical Trial Type
Other0
Observational Study Perspective
Prospective0
Official Name
A Multicentric Validation Study on the Effectiveness and Safety of Artificial Intelligence Assisted System in Clinical Application of Retrograde Cholangiopancreatography0
Last Updated
January 22, 2021
0
Study summary

In this study, the investigators proposed a prospective study about the effectiveness of artificial intelligence system for Retrograde cholangiopancreatography. The subjects would be include in an analyses groups. The AI-assisted system helps endoscopic physicians estimate the difficulty of Endoscopic retrograde cholangiopancreatography for choledocholithiasis and make recommendations based on guidelines and difficulty scores. The investigators used the stone removal times, success rate of stone extraction and Operating time to reflect the difficulty of the operation, and evaluated whether the results of the AI system were correct.

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