Introduction: Conventional gastrointestinal (GI) endoscopy reports written by physicians are time consuming and might have obvious heterogeneity or omissions, impairing the efficiency and multicenter consultation potential. We aimed to develop and validate an image recognition-based structured report generation system (ISRGS) through a multicenter database and to assess its diagnostic performance.
Methods: First, we developed and evaluated an ISRGS combining real-time video capture, site identification, lesion detection, subcharacteristics analysis, and structured report generation.
Background: The efficacy of routine second-look endoscopy (SLE) to detect or prevent bleeding after gastric endoscopic submucosal dissection (ESD) has not yet been validated.
Objective: The aim of this study was to determine whether SLE affects clinical outcomes including bleeding and morbidity after gastric ESD.
Design: A prospective, randomized, controlled study with consecutive data analyzed on an as-treated basis.
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