Gastroenterology

GERD

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

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MM-StackEns: A new deep multimodal stacked generalization approach for protein-protein interaction prediction.

Accurate in-silico identification of protein-protein interactions (PPIs) is a long-standing problem ...

A systematic review of state-of-the-art strategies for machine learning-based protein function prediction.

New drug discovery is inseparable from the discovery of drug targets, and the vast majority of the k...

Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning.

BACKGROUND: Treatment of obstructive sleep apnea is crucial for long term health and reduced economi...

TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks.

Pretrained representations have recently gained attention in various machine learning applications. ...

Long-distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction.

BACKGROUND: Protein-protein interactions are widespread in biological systems and play an important ...

Quantifying Valve Regurgitation Using 3-D Doppler Ultrasound Images and Deep Learning.

Accurate quantification of cardiac valve regurgitation jets is fundamental for guiding treatment. Ca...

RGN: Residue-Based Graph Attention and Convolutional Network for Protein-Protein Interaction Site Prediction.

The prediction of a protein-protein interaction site (PPI site) plays a very important role in the b...

Machine Learning Models to Predict Protein-Protein Interaction Inhibitors.

Protein-protein interaction (PPI) inhibitors have an increasing role in drug discovery. It is hypoth...

Artificial intelligence and automation in endoscopy and surgery.

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and displays to ...

A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing.

Although videofluorography (VFG) is an effective tool for evaluating swallowing functions, its accur...

Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders.

Esophageal disorders are related to the mechanical properties and function of the esophageal wall. T...

A routine de-airing method for total endoscopic robot-assisted mitral valve repair.

Intraoperative water testing is essential for assessing mitral valve morphology and degree of residu...

Pediatric robot-assisted extravesical ureteral reimplantation (revur) in simple and complex ureter anatomy: Report of a multicenter experience.

BACKGROUND: Robot-assisted extravesical ureteral reimplantation (REVUR) is a well established approa...

Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy.

The use of high-speed video-endoscopy (HSV) in the study of phonatory processes linked to speech nee...

Graph Neural Network for Protein-Protein Interaction Prediction: A Comparative Study.

Proteins are the fundamental biological macromolecules which underline practically all biological ac...

Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm.

In this study, we aimed to develop an artificial intelligence clinical decision support solution to ...

A systematic review of robot-assisted anti-reflux surgery to examine reporting standards.

Robot-assisted anti-reflux surgery (RA-ARS) is increasingly being used to treat refractory gastro-oe...

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