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Retrograde Cholangiopancreatography AI Assisted System Validation on Effectiveness and Safety

Renmin Hospital of Wuhan University · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
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artificial-intelligencedeep-learningendoscopy
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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