Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Showing 5020-5040 of 7,604 articles
Association of polymorphisms in , , and with post-induction infliximab trough level in Crohn's disease patients.

BACKGROUND: Trough levels of the post-induction serum infliximab (IFX) are associated with short-ter...

Oct 2019 33163192
Deep Learning-Based Classification of Liver Cancer Histopathology Images Using Only Global Labels.

Liver cancer is a leading cause of cancer deaths worldwide due to its high morbidity and mortality. ...

Oct 2019 31670686
Hepatitis B surface antigen reduction as a result of switching from long-term entecavir administration to tenofovir.

BACKGROUND AND AIM: Loss of hepatitis B surface antigen (HBsAg) is an important goal in the treatmen...

Oct 2019 32514449
Identification of genes of four malignant tumors and a novel prediction model development based on PPI data and support vector machines.

Triple-negative breast cancer (TNBC), colon adenocarcinoma (COAD), ovarian cancer (OV), and glioblas...

Oct 2019 31645679
Evaluating a combined bowel preparation for small-bowel capsule endoscopy: a prospective randomized-controlled study.

BACKGROUND: Capsule endoscopy (CE) is frequently hindered by intra-luminal debris. Our aim was to de...

Oct 2019 32419949
Machine learning prediction of emesis and gastrointestinal state in ferrets.

Although electrogastrography (EGG) could be a critical tool in the diagnosis of patients with gastro...

Oct 2019 31626659
Antiproliferative, neurotoxic, genotoxic and mutagenic effects of toxic cyanobacterial extracts.

Cyanobacteria are the rich resource of various secondary metabolites including toxins with broad pha...

Oct 2019 31762678
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.

Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their diagnosis can...

Oct 2019 31629933
A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging.

BACKGROUND: To develop a supervised machine learning (ML) algorithm predicting above- versus below-m...

Oct 2019 31624935
Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.

Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) image...

Oct 2019 31669758
A New Multimodel Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors.

The purpose of the work described here was to determine if the diagnostic performance of point and 2...

Oct 2019 31611074
Segmentation and Diagnosis of Liver Carcinoma Based on Adaptive Scale-Kernel Fuzzy Clustering Model for CT Images.

Medical image analysis plays an important role in computer-aided liver-carcinoma diagnosis. Aiming a...

Oct 2019 31602537
Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy.

Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been identified, an...

Oct 2019 31594962
Application of Artificial Intelligence to Gastroenterology and Hepatology.

Since 2010, substantial progress has been made in artificial intelligence (AI) and its application t...

Oct 2019 31593701
Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.

BACKGROUND: Early detection of early gastric cancer (EGC) allows for less invasive cancer treatment....

Oct 2019 31584138
Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study.

BACKGROUND: Upper gastrointestinal cancers (including oesophageal cancer and gastric cancer) are the...

Oct 2019 31591062
Probability density function based modeling of spatial feature variation in capsule endoscopy data for automatic bleeding detection.

Wireless capsule endoscopy (WCE) is a video technology to inspect abnormalities, like bleeding in th...

Oct 2019 31698239
Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.

BACKGROUND AND AIM: To examine whether our convolutional neural network (CNN) system based on deep l...

Oct 2019 31441972
Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

BACKGROUND AND AIM: Although small-bowel angioectasia is reported as the most common cause of bleedi...

Oct 2019 31392767
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