AIMC Topic: Cholestasis

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Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video).

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Accurately diagnosing malignant biliary strictures (MBSs) as benign or malignant remains challenging. It has been suggested that direct visualization and interpretation of cholangioscopy images provide greater accuracy for strict...

Robotic Revision of Hepaticojejunostomy for Benign Biliary Stricture.

The American surgeon
Surgical revision of biliary enteric anastomoses (BEA) can be a challenging undertaking and a robotic platform may provide advantages that address many of the technical obstacles. We present our technical approach and outcomes for patients undergoing...

Robotic biliary surgery for benign and malignant bile duct obstruction: a case series.

Journal of robotic surgery
The majority of patients with benign or malignant biliary obstruction require surgical treatment with a bilio-enteric anastomosis. This requires fine dissection and advanced suturing. Robotic surgery may overcome some major limitations of conventiona...

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

Clinical and translational gastroenterology
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...

Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens.

Diagnostic pathology
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...