Gastroenterology

Peptic Ulcer Disease

Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.

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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
Clinical Study on Minimally Invasive Liquefaction and Drainage of Hypertensive Putaminal Hemorrhage through Frontal Approach.

 Hypertensive intracerebral hemorrhage is one of the most common cerebrovascular diseases with high...

Sep 2019 33777641
Hemophilia C: A Case Report With Updates on Diagnosis and Management of a Rare Bleeding Disorder.

Hemophilia C or factor XI deficiency is a rare clotting disorder with prevalence of only 1 per 1 mil...

Sep 2019 32300461
Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastro...

Sep 2019 31562847
Multi-Objective Optimization for Personalized Prediction of Venous Thromboembolism in Ovarian Cancer Patients.

Thrombotic events are one of the leading causes of mortality and morbidity related to cancer, with o...

Sep 2019 31562113
The future of endoscopy: Advances in endoscopic image innovations.

The latest state of the art technological innovations have led to a palpable progression in endoscop...

Aug 2019 31286574
A Preliminary Study on Coagulation Parameters and Sterility of Thawed Refrozen Fresh Frozen Plasma.

Thawed fresh frozen plasma (FFP) if not used within 6 h, may have to be discarded due to the risk of...

Aug 2019 32174694
Analysis of Protein-Protein Functional Associations by Using Gene Ontology and KEGG Pathway.

Protein-protein interaction (PPI) plays an extremely remarkable role in the growth, reproduction, an...

Jul 2019 31396531
Automated feature engineering improves prediction of protein-protein interactions.

Over the last decade, various machine learning (ML) and statistical approaches for protein-protein i...

Jul 2019 31278492
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...

Jun 2019 31251929
DeepPhagy: a deep learning framework for quantitatively measuring autophagy activity in .

Seeing is believing. The direct observation of GFP-Atg8 vacuolar delivery under confocal microscopy ...

Jun 2019 31204567
Protein complex identification based on weighted PPI network with multi-source information.

Proteins form complexes to accomplish biological functions such as transcription of DNA, translation...

Jun 2019 31199958
[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...

Jun 2019 31170744
Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks.

BACKGROUND: Glioma is the most lethal nervous system cancer. Recent studies have made great efforts ...

May 2019 31150762
Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but current ris...

May 2019 31055722
Machine-Learning-Based Predictor of Human-Bacteria Protein-Protein Interactions by Incorporating Comprehensive Host-Network Properties.

The large-scale identification of protein-protein interactions (PPIs) between humans and bacteria re...

Apr 2019 30983371
SLMF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization.

Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets. How...

Apr 2019 30969932
Quantification of apixaban in human plasma using ultra performance liquid chromatography coupled with tandem mass spectrometry.

Apixaban, an inhibitor of direct factor Xa, is used for the treatment of venous thromboembolic event...

Mar 2019 32055579
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