Gastroenterology

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.

Drug-induced liver injury (DILI), one of the most common adverse effects, leads to drug development ...

Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.

BACKGROUND & AIMS: Capsule endoscopy has revolutionized investigation of the small bowel. However, t...

MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer.

PURPOSE: To develop and validate an Artificial Intelligence (AI) model based on texture analysis of ...

Automatic gas detection in prostate cancer patients during image-guided radiation therapy using a deep convolutional neural network.

PURPOSE: The detection of intestinal/rectal gas is very important during image-guided radiation ther...

Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.

OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAF...

A Novel Relative Position Estimation Method for Capsule Robot Moving in Gastrointestinal Tract.

Recently, a variety of positioning and tracking methods have been proposed for capsule robots moving...

Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk ...

Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond...

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling u...

Therapeutic effect of gastrografin and predictors of operative intervention in patients with adhesive small bowel obstruction: A randomized controlled study.

OBJECTIVES: The study aimed to investigate the therapeutic effect of gastrografin for the conservati...

A Deep Convolutional Neural Network Approach to Classify Normal and Abnormal Gastric Slow Wave Initiation From the High Resolution Electrogastrogram.

OBJECTIVE: Gastric slow wave abnormalities have been associated with gastric motility disorders. Inv...

Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance.

Hepatitis B surface antigen (HBsAg) seroclearance during treatment is associated with a better progn...

[Artificial Intelligence in Endoscopy: Deep Neural Nets for Endoscopic Computer Vision - Methods & Perspectives].

Artificial neural networks, as a specific approach towards artificial intelligence (AI), can open up...

Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.

IMPORTANCE: Duodenal biopsies from children with enteropathies associated with undernutrition, such ...

Ontology-Based Interactive Visualization of Patient-Generated Research Questions.

BACKGROUND: Crohn's disease and colitis are chronic conditions that affect every facet of patients' ...

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.

Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptio...

VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Extraction or segmentation of organ vessels is an important task for surgical planning and computer-...

Automated Machine Learning Diagnostic Support System as a Computational Biomarker for Detecting Drug-Induced Liver Injury Patterns in Whole Slide Liver Pathology Images.

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Explant liver evaluation decodes the mystery of cryptogenic cirrhosis!

BACKGROUND AND AIM: To determine the concordance of liver explants with the pretransplant diagnosis.

[French comment on article A deep neural network improves endoscopic detection of early gastric cancer without blind spots].

Pre-Treatment Biomarkers of Anti-Tumour Necrosis Factor Therapy Response in Crohn's Disease-A Systematic Review and Gene Ontology Analysis.

The most prominent treatment for the serious cases of Crohn's disease (CD) are biological tumour nec...