Gastroenterology

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

7,604 articles

Subcategories: GERD Inflammatory Bowel Disease Irritable Bowel Syndrome Pancreatic Diseases Peptic Ulcer Disease

Showing 5356-5376 of 7,604 articles

Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.

Predicting malignant potential is one of the most critical components of a computer-aided diagnosis ...

May 2018 29993591

Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

PURPOSE: Fast and accurate graft hepatic steatosis (HS) assessment is of primary importance for lowe...

May 2018 29796834

Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning.

This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Ram...

May 2018 29787817

Oral Delivery of Curcumin Polymeric Nanoparticles Ameliorates CCl₄-Induced Subacute Hepatotoxicity in Wistar Rats.

Curcumin is the major bioactive compound of , an important medicinal plant used in traditional herba...

May 2018 30966575

Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.

This paper proposes a novel methodology for automatic detection and localization of gastrointestinal...

May 2018 29994763

Vitamin D Deficiency in a Portuguese Cohort of Patients with Inflammatory Bowel Disease: Prevalence and Relation to Disease Activity.

BACKGROUND AND AIMS: Vitamin D deficiency is more common in inflammatory bowel disease (IBD) patient...

May 2018 31192283

Deep learning for staging liver fibrosis on CT: a pilot study.

OBJECTIVES: To investigate whether liver fibrosis can be staged by deep learning techniques based on...

May 2018 29761358

Advancing Predictive Hepatotoxicity at the Intersection of Experimental, in Silico, and Artificial Intelligence Technologies.

Adverse drug reactions, particularly those that result in drug-induced liver injury (DILI), are a ma...

May 2018 29722533

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.

This paper investigates the automatic monitoring of tool usage during a surgery, with potential appl...

May 2018 29778931

Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica.

Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to...

May 2018 29738521

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Very little is known about the health problems experienced by individuals with autism spectrum disor...

May 2018 29734508

Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study.

OBJECTIVE: We aimed to evaluate the performance of the newly developed deep learning Radiomics of el...

May 2018 29730602

Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.

BACKGROUND: Efficient computational recognition and segmentation of target organ from medical images...

Apr 2018 29745840

Gastroenterology

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Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.

Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning.

Oral Delivery of Curcumin Polymeric Nanoparticles Ameliorates CCl₄-Induced Subacute Hepatotoxicity in Wistar Rats.

Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.

Vitamin D Deficiency in a Portuguese Cohort of Patients with Inflammatory Bowel Disease: Prevalence and Relation to Disease Activity.

Deep learning for staging liver fibrosis on CT: a pilot study.

Advancing Predictive Hepatotoxicity at the Intersection of Experimental, in Silico, and Artificial Intelligence Technologies.

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.

Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica.

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study.

Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation.

Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images.

Physical Properties of the Extracellular Matrix of Decellularized Porcine Liver.

Glucagonoma and Glucagonoma Syndrome: One Center's Experience of Six Cases.

Antifibrotic effects of gallic acid on hepatic stellate cells: mechanistic study.

Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.

Evaluation of Vancomycin Dosing in Patients With Cirrhosis: Beginning De-Liver-ations about a New Nomogram.

Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates.

Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.

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