Gastroenterology

GERD

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

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Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review.

The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed sig...

A two-phase transfer learning framework for gastrointestinal diseases classification.

Gastrointestinal (GI) disorders are common and often debilitating health issues that affect a signif...

Deep representation learning of protein-protein interaction networks for enhanced pattern discovery.

Protein-protein interaction (PPI) networks, where nodes represent proteins and edges depict myriad i...

Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction.

The evaluation of drug-gene-disease interactions is key for the identification of drugs effective ag...

QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.

Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (...

An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction.

Protein-protein interactions (PPIs) are essential to understanding cellular mechanisms, signaling ne...

RGCNPPIS: A Residual Graph Convolutional Network for Protein-Protein Interaction Site Prediction.

Accurate identification of protein-protein interaction (PPI) sites is crucial for understanding the ...

Clinical feasibility study of transcatheter edge-to-edge mitral valve repair in dogs with the canine V-Clamp device.

OBJECTIVE: To determine procedural feasibility, safety, and short-term efficacy in dogs with severe ...

ChatGPT-4o's performance on pediatric Vesicoureteral reflux.

INTRODUCTION: Vesicoureteral reflux (VUR) is a common congenital or acquired urinary disorder in chi...

Protein-protein interaction detection using deep learning: A survey, comparative analysis, and experimental evaluation.

This survey paper provides a comprehensive analysis of various Deep Learning (DL) techniques and alg...

MDMNI-DGD: A novel graph neural network approach for druggable gene discovery based on the integration of multi-omics data and the multi-view network.

Accurately predicting druggable genes is of paramount importance for enhancing the efficacy of targe...

Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images.

This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect vario...

Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP study.

BACKGROUND AND OBJECTIVES: Deep learning (DL) algorithms demonstrate excellent diagnostic performanc...

Comprehensive review of dysphagia and technological advances in dysphagia food.

As the global population ages, dysphagia is becoming increasingly common among the elderly, posing s...

Machine Learning Identifies Clinically Distinct Phenotypes in Patients With Aortic Regurgitation.

BACKGROUND: Aortic regurgitation (AR) is a prevalent valve disease with a long latent period before ...

ProAffinity-GNN: A Novel Approach to Structure-Based Protein-Protein Binding Affinity Prediction via a Curated Data Set and Graph Neural Networks.

Protein-protein interactions (PPIs) are crucial for understanding biological processes and disease m...

An experimental analysis of graph representation learning for Gene Ontology based protein function prediction.

Understanding protein function is crucial for deciphering biological systems and facilitating variou...

Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques.

The early detection and diagnosis of gastrointestinal tract diseases, such as ulcerative colitis, po...

Protein-Protein Interaction Networks Derived from Classical and Machine Learning-Based Natural Language Processing Tools.

The study of protein-protein interactions (PPIs) provides insight into various biological mechanisms...

A deep learning-based method for assessing tricuspid regurgitation using continuous wave Doppler spectra.

Transthoracic echocardiography (TTE) is widely recognized as one of the principal modalities for dia...

Graph-based machine learning model for weight prediction in protein-protein networks.

Proteins interact with each other in complex ways to perform significant biological functions. These...

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