Gastroenterology

Peptic Ulcer Disease

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

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Study on image data cleaning method of early esophageal cancer based on VGG_NIN neural network.

In order to clean the mislabeled images in the esophageal endoscopy image data set, we designed a ne...

Artificial Intelligence and Machine Learning in Patient Blood Management: A Scoping Review.

Machine learning (ML) and artificial intelligence (AI) are widely used in many different fields of m...

RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy.

: The emergence of wireless capsule endoscopy (WCE) has presented a viable non-invasive mean of iden...

Graph convolutional network based virus-human protein-protein interaction prediction for novel viruses.

Computational identification of human-virus protein-protein interactions (PHIs) is a worthwhile step...

A deep learning framework for identifying essential proteins based on multiple biological information.

BACKGROUND: Essential Proteins are demonstrated to exert vital functions on cellular processes and a...

DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction.

BACKGROUND: Protein-protein interaction (PPI) is very important for many biochemical processes. Ther...

Artificial intelligence for diagnosing gastric lesions under white-light endoscopy.

BACKGROUND: The ability of endoscopists to identify gastric lesions is uneven. Even experienced endo...

Solubility Optimization of Loxoprofen as a Nonsteroidal Anti-Inflammatory Drug: Statistical Modeling and Optimization.

Industrial-based application of supercritical CO (SCCO) has emerged as a promising technology in num...

SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.

BACKGROUND: Protein-protein interactions (PPIs) dominate intracellular molecules to perform a series...

Innovations in GI-endoscopy.

Gastrointestinal endoscopy covers both diagnosis and therapy. Due to its diagnostic accuracy and min...

Identification of upper GI diseases during screening gastroscopy using a deep convolutional neural network algorithm.

BACKGROUND AND AIMS: The clinical application of GI endoscopy for the diagnosis of multiple diseases...

Artificial intelligence implementation in pancreaticobiliary endoscopy.

INTRODUCTION: Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. T...

Robotics in therapeutic endoscopy (with video).

Since its inception, endoscopy has evolved from a solely diagnostic procedure to an expanding therap...

See-Through Vision With Unsupervised Scene Occlusion Reconstruction.

Among the greatest of the challenges of minimally invasive surgery (MIS) is the inadequate visualisa...

EPGAT: Gene Essentiality Prediction With Graph Attention Networks.

Identifying essential genes and proteins is a critical step towards a better understanding of human ...

A deep learning-based model improves diagnosis of early gastric cancer under narrow band imaging endoscopy.

BACKGROUND: Diagnosis of early gastric cancer (EGC) under narrow band imaging endoscopy (NBI) is dep...

Hybrid and Deep Learning Approach for Early Diagnosis of Lower Gastrointestinal Diseases.

Every year, nearly two million people die as a result of gastrointestinal (GI) disorders. Lower gast...

Follow-Up of Robotic Mitral Valve Repair: A Single Tertiary Institution Experience in China.

Surgical treatment of mitral valve diseases has become minimally invasive. This study analyzed the f...

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