GERD

A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease.

Gastroesophageal reflux disease (GERD) is a common disease with high prevalence, and its endoscopic ...

Colorectal polyp characterization with standard endoscopy: Will Artificial Intelligence succeed where human eyes failed?

The American Society for Gastrointestinal Endoscopy (ASGE) has proposed the "resect-and-discard" and...

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.

The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent p...

VR-Caps: A Virtual Environment for Capsule Endoscopy.

Current capsule endoscopes and next-generation robotic capsules for diagnosis and treatment of gastr...

Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract.

Accurate lesion segmentation based on endoscopy images is a fundamental task for the automated diagn...

Protein2Vec: Aligning Multiple PPI Networks with Representation Learning.

Research of Protein-Protein Interaction (PPI) Network Alignment is playing an important role in unde...

A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information.

Computational methods including centrality and machine learning-based methods have been proposed to ...

Artificial Intelligence for gastrointestinal endoscopy: When technology meets our needs!

Machine learning method for predicting pacemaker implantation following transcatheter aortic valve replacement.

BACKGROUND: An accurate assessment of permanent pacemaker implantation (PPI) risk following transcat...

Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies.

Deep transfer learning approaches for bleeding detection in endoscopy images.

Wireless capsule endoscopy is a non-invasive, wireless imaging tool that has developed rapidly over ...

Preoperative Bladder Bowel Dysfunction Is the Most Important Predictive Factor for Postoperative Urinary Retention After Robot-Assisted Laparoscopic Ureteral Reimplantation via An Extravesical Approach: A Multi-Center Study.

Postoperative acute urinary retention (pAUR) is a known occurrence after robot-assisted laparoscopi...

Classification and prediction of protein-protein interaction interface using machine learning algorithm.

Structural insight of the protein-protein interaction (PPI) interface can provide knowledge about th...

Short-term outcome after robot-assisted hiatal hernia and anti-reflux surgery-is there a benefit for the patient?

PURPOSE: The robotic system was introduced to overcome the technical limitations of conventional lap...

The power of optimal medical therapy using angiotensin receptor-neprilysin inhibitor in acute decompensated heart failure, sparing a critical patient open-heart surgery with a device therapy: a case report.

BACKGROUND: Timely use of Sacubitril/Valsartan has the potential to significantly improve cardiac fu...

Artificial intelligence in biliopancreatic endoscopy: Is there any role?

Artificial intelligence (AI) research in endoscopy is being translated at rapid pace with a number o...

Striving for quality improvement: can artificial intelligence help?

Artificial intelligence (AI) is of keen interest for global health development as potential support ...

Artificial intelligence and deep learning for small bowel capsule endoscopy.

Capsule endoscopy is ideally suited to artificial intelligence-based interpretation given its relian...

Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy.

Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastro...

Necrotic enteritis challenge regulates peroxisome proliferator-1 activated receptors signaling and β-oxidation pathways in broiler chickens.

Necrotic enteritis (NE) is an important enteric disease in poultry and has become a major concern in...

Graph embeddings on gene ontology annotations for protein-protein interaction prediction.

BACKGROUND: Protein-protein interaction (PPI) prediction is an important task towards the understand...