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Tu1960 USING ARTIFICIAL INTELLIGENCE IN DIAGNOSIS OF ESOPHAGEAL SQUAMOUS CELL NEOPLASIA: A POST-HOC STUDY OF HIGH-RESOLUTION MICROENDOSCOPY (HRME) IMAGE INTERPRETATION

      High-resolution microendoscopy (HRME) is a low-cost, portable device producing subcellular epithelial images to detect esophageal squamous cell neoplasia (ESCN). A limitation of any microendoscopic technology in underserved settings with high rates of ESCN (e.g., China, Iran, South Africa) is the need for expert interpretation. We developed a fully automated HRME image analysis software to distinguish neoplastic from benign mucosa. The aim of this study was to evaluate the accuracy and confidence of expert and novice endoscopists in HRME image interpretation with and without input from an automated software to detect ESCN.
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