AIMC Topic: Cholestasis

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Automatic Identification of Papillary Projections in Indeterminate Biliary Strictures Using Digital Single-Operator Cholangioscopy.

Clinical and translational gastroenterology Oct 27, 2021
INTRODUCTION: Characterization of biliary strictures is challenging. Papillary projections (PP) are often reported in biliary strictures with high malignancy potential during digital single-operator cholangioscopy. In recent years, the development of...
Humans Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Constriction, Pathologic Bile Ducts Proof of Concept Study Endoscopy, Digestive System Cholestasis
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Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens.

Diagnostic pathology May 6, 2021
BACKGROUND: The objective was to build a novel method for automated image analysis to locate and quantify the number of cytokeratin 7 (K7)-positive hepatocytes reflecting cholestasis by applying deep learning neural networks (AI model) in a cohort of...
Humans Biomarkers Female Aged Young Adult Adult Male Middle Aged Deep Learning Adolescent Child Image Processing, Computer-Assisted Hepatocytes Cholangitis, Sclerosing Cholestasis Keratin-7
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Re-establishing the purpose of cholangioscopy-based artificial intelligence for biliary strictures.

Gastrointestinal endoscopy Mar 1, 2024
Humans Artificial Intelligence Constriction, Pathologic Cholangiopancreatography, Endoscopic Retrograde Catheterization Cholestasis
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