GERD

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroent...

Improved Prediction of Protein-Protein Interaction Mapping on by Using Amino Acid Sequence Features in a Supervised Learning Framework.

BACKGROUND: Protein-Protein Interaction (PPI) has emerged as a key role in the control of many biolo...

Evolving role of artificial intelligence in gastrointestinal endoscopy.

Artificial intelligence (AI) is a combination of different technologies that enable machines to sens...

Individual patient data meta-analysis of the effects of the CARILLON® mitral contour system.

AIMS: Functional mitral regurgitation (MR) (FMR) is common in heart failure with reduced ejection fr...

Robotics in flexible endoscopy: current status and future prospects.

PURPOSE OF REVIEW: Advanced endoscopy procedures are technically challenging and require extensive t...

Colon capsule endoscopy versus CT colonography after incomplete colonoscopy. Application of artificial intelligence algorithms to identify complete colonic investigations.

BACKGROUND: Guidelines suggest computed tomography colonography (CTC) following incomplete optical c...

[Early Clinical Outcomes of Robotic Mitral Valve Repair;Initial Twenty Cases].

We report the early results of our initial 20 consecutive robotic-assisted mitral valve repairs at o...

Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy.

[Integration of production-university-research based on artificial intelligence for technological innovation and transformation in gastrointestinal surgery].

Medical artificial intelligence is a deeply integrated field of production-university-research. The ...

Artificial intelligence in the age of cognitive endoscopy.

Adding artificial intelligence to gastrointestinal endoscopy.

Protein-protein interaction site prediction through combining local and global features with deep neural networks.

MOTIVATION: Protein-protein interactions (PPIs) play important roles in many biological processes. C...

Artificial intelligence in gastrointestinal endoscopy: general overview.

Artificial intelligence (AI) is now a trendy subject in clinical medicine and especially in gastroin...

ARTIFICIAL INTELLIGENCE AND DYSPHAGIA: NOVEL SOLUTIONS TO OLD PROBLEMS.

Dysphagia management, from screening procedures to diagnostic methods and therapeutic approaches, is...

Artificial intelligence in gastrointestinal endoscopy: how intelligent can it get?

Machine-learning techniques for the prediction of protein-protein interactions.

Protein-protein interactions (PPIs) are important for the study of protein functions and pathways in...

Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.

MOTIVATION: Sequence-based protein-protein interaction (PPI) prediction represents a fundamental com...

Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging.

Wireless capsule endoscopy (WCE) is a swallowable device used for screening different parts of the h...

Real-Time Detection of Ureteral Orifice in Urinary Endoscopy Videos Based on Deep Learning.

In urology endoscopic procedures, the Ureteral Orifice (UO) finding is crucial but may be challengin...

Self-driving cars and AI-assisted endoscopy: Who should take the responsibility when things go wrong?

BIPSPI: a method for the prediction of partner-specific protein-protein interfaces.

MOTIVATION: Protein-Protein Interactions (PPI) are essentials for most cellular processes and thus, ...