Gastroenterology

Peptic Ulcer Disease

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

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An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy.

OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artific...

Mar 2019 30913936
Low-light image enhancement of high-speed endoscopic videos using a convolutional neural network.

Laryngeal endoscopy is one of the primary diagnostic tools for laryngeal disorders. The main techniq...

Mar 2019 30900057
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.

Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typical...

Mar 2019 30871162
Exploring semi-supervised variational autoencoders for biomedical relation extraction.

The biomedical literature provides a rich source of knowledge such as protein-protein interactions (...

Feb 2019 30822516
PPI-Detect: A support vector machine model for sequence-based prediction of protein-protein interactions.

The prediction of peptide-protein or protein-protein interactions (PPI) is a challenging task, espec...

Feb 2019 30768790
Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective.

With recent breakthroughs in artificial intelligence, computer-aided diagnosis (CAD) for upper gastr...

Feb 2019 30549317
Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.

BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have ...

Feb 2019 30761584
Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning.

Artery perforation during a vascular catheterization procedure is a potentially life threatening eve...

Feb 2019 30769168
Spotting malignancies from gastric endoscopic images using deep learning.

BACKGROUND: Gastric cancer is a common kind of malignancies, with yearly occurrences exceeding one m...

Feb 2019 30719560
Synthesis of Ag/AgCl modified anhydrous basic bismuth nitrate from BiOCl and the antibacterial activity.

Novel nanocomposite of Ag/AgCl and a single phase of anhydrous basic bismuth nitrate (ABBN)-BiO(OH)(...

Dec 2018 30813089
Task activations produce spurious but systematic inflation of task functional connectivity estimates.

Most neuroscientific studies have focused on task-evoked activations (activity amplitudes at specifi...

Dec 2018 30597260
Sensitive electrochemical detection of gp120 based on the combination of NBD-556 and gp120.

As is known, the employment of molecular imprinting polymer (MIP) as specific sensing materials in s...

Dec 2018 30683395
A convolutional neural network Cascade for plantar pressure images registration.

BACKGROUND: Plantar pressure image (PPI) recorded in high spatial and temporal resolution is very us...

Dec 2018 30594014
Anticoagulant Related Nephropathy Induced by Dabigatran.

We describe a case of biopsy-proven dabigatran related nephropathy in a patient without underlying I...

Dec 2018 30631615
A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.

The prediction of patient mortality, which can detect high-risk patients, is a significant yet chall...

Dec 2018 30815143
Adverse Drug Reaction Predictions Using Stacking Deep Heterogeneous Information Network Embedding Approach.

Inferring potential adverse drug reactions is an important and challenging task for the drug discove...

Dec 2018 30518099
Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.

BACKGROUND AND AIMS: According to guidelines, endoscopic resection should only be performed for pati...

Nov 2018 30452913
Robot-assisted percutaneous placement of K-wires during minimally invasive interventions of the spine.

To assess the accuracy and time requirements of image-guided percutaneous K-wire insertion in the s...

Nov 2018 30428741
Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors.

Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading ca...

Nov 2018 30423965
Radiofrequency endometrial ablation for treating heavy menstrual bleeding in women with chronic renal failure.

OBJECTIVE: The study objective was to retrospectively evaluate the efficacy and safety of radiofrequ...

Nov 2018 30724627
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