AIMC Topic: Biliary Tract Neoplasms

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American College of Surgeons survival calculator for biliary tract cancers: using machine learning to individualize predictions.

Surgery Nov 26, 2024
BACKGROUND: Although cancer prognosis is most commonly estimated by tumor stage, survival is multifactorial. Our objective was to develop an American College of Surgeons "Biliary Tract Cancer Survival Calculator" prototype using machine learning to g...
Aged Aged, 80 and over Survival Rate Retrospective Studies Female United States Neoplasm Staging Biliary Tract Neoplasms Male Middle Aged Databases, Factual Prognosis Machine Learning Humans
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Multimodal convolutional neural network-based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video).

Gastrointestinal endoscopy Sep 13, 2024
BACKGROUND AND AIMS: Deep learning algorithms gained attention for detection (computer-aided detection [CADe]) of biliary tract cancer in digital single-operator cholangioscopy (dSOC). We developed a multimodal convolutional neural network (CNN) for ...
Convolutional Neural Networks ROC Curve Diagnosis, Computer-Assisted Deep Learning Video Recording Bile Duct Neoplasms Proof of Concept Study Diagnosis, Differential Constriction, Pathologic Female Aged Male Middle Aged Sensitivity and Specificity Neural Networks, Computer Algorithms Humans Biliary Tract Neoplasms Cholangitis Cholestasis Cholangiocarcinoma Endoscopy, Digestive System
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Applications of artificial intelligence in biliary tract cancers.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology Mar 1, 2024
Biliary tract cancers are malignant neoplasms arising from bile duct epithelial cells. They include cholangiocarcinomas and gallbladder cancer. Gallbladder cancer has a marked geographical preference and is one of the most common cancers in women in ...
Biliary Tract Neoplasms Prognosis Humans Female Cholangiocarcinoma Artificial Intelligence Deep Learning Gallbladder Neoplasms
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Artificial intelligence for automatic diagnosis of biliary stricture malignancy status in single-operator cholangioscopy: a pilot study.

Gastrointestinal endoscopy Sep 8, 2021
BACKGROUND AND AIMS: The diagnosis and characterization of biliary strictures (BSs) is challenging. The introduction of digital single-operator cholangioscopy (DSOC) that allows direct visual inspection of the lesion and targeted biopsy sampling sign...
Artificial Intelligence Pilot Projects Humans Biliary Tract Neoplasms Constriction, Pathologic Endoscopy, Digestive System
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Artificial neural networks for multi-omics classifications of hepato-pancreato-biliary cancers: towards the clinical application of genetic data.

European journal of cancer (Oxford, England : 1990) Mar 26, 2021
PURPOSE: Several multi-omics classifications have been proposed for hepato-pancreato-biliary (HPB) cancers, but these classifications have not proven their role in the clinical practice and been validated in external cohorts.
Pancreatic Neoplasms Biliary Tract Neoplasms Liver Neoplasms Follow-Up Studies Male Transcriptome Neural Networks, Computer Machine Learning Humans Algorithms Aged Female Prognosis Biomarkers, Tumor
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Artificial intelligence-based pathology for gastrointestinal and hepatobiliary cancers.

Gut Nov 19, 2020
Artificial intelligence (AI) can extract complex information from visual data. Histopathology images of gastrointestinal (GI) and liver cancer contain a very high amount of information which human observers can only partially make sense of. Complemen...
Biliary Tract Neoplasms Biomarkers, Tumor Gastrointestinal Neoplasms Humans Liver Neoplasms Prognosis Image Interpretation, Computer-Assisted Artificial Intelligence Reproducibility of Results Microsatellite Instability
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