GERD

The influence of prompt engineering on large language models for protein-protein interaction identification in biomedical literature.

Identifying protein-protein interactions (PPIs) is a foundational task in biomedical natural languag...

Artificial intelligence-based echocardiography assessment to detect pulmonary hypertension.

BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening pa...

WEO Newsletter: The Impact of Artificial Intelligence on Gastrointestinal Endoscopy.

Searching for Insights Into the Timing of Intervention in Aortic Regurgitation Using Machine Learning.

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology.

BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with he...

Application of artificial intelligence in the detection of Borrmann type 4 advanced gastric cancer in upper endoscopy (with video).

BACKGROUND: Borrmann type-4 (B-4) advanced gastric cancer is challenging to diagnose through routine...

Deciphering mitochondrial dysfunction in keratoconus: Insights into ACSL4 from machine learning-based bulk and single-cell transcriptome analyses and experimental validation.

Keratoconus (KC) is a prevalent ectatic corneal disease and the leading cause of corneal transplanta...

Identification of hub immune-related genes and construction of predictive models for systemic lupus erythematosus by bioinformatics combined with machine learning.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that involves multiple systems. S...

Identification of biomarkers associated with inflammatory response in Parkinson's disease by bioinformatics and machine learning.

Parkinson's disease (PD) is a common and debilitating neurodegenerative disorder. The inflammatory r...

Development and Validation of a Multi-Task Artificial Intelligence-Assisted System for Small Bowel Capsule Endoscopy.

OBJECTIVE: To develop a multi-task artificial intelligence-assisted system for small bowel capsule e...

Improved in Silico Identification of Protein-Protein Interactions Using Deep Learning Approach.

Protein-protein interactions (PPIs) perform significant functions in many biological activities like...

Artificial Intelligence in Endoscopy for Predicting Helicobacter pylori Infection: A Systematic Review and Meta-Analysis.

PURPOSE: This meta-analysis aimed to assess the diagnostic performance of artificial intelligence (A...

Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.

Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogen...

Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models.

BACKGROUND: Wireless capsule endoscopy (WCE) has become an important noninvasive and portable tool f...

AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBD.

Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the detection, mon...

GENNDTI: Drug-Target Interaction Prediction Using Graph Neural Network Enhanced by Router Nodes.

Identifying drug-target interactions (DTI) is crucial in drug discovery and repurposing, and in sili...

Advancements in biliopancreatic endoscopy - A comprehensive review of artificial intelligence in EUS and ERCP.

The development and implementation of artificial intelligence (AI), particularly deep learning (DL) ...

GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images.

Convolutional Neural Networks (CNNs) have received substantial attention as a highly effective tool ...

New GO-based measures in multiple network alignment.

MOTIVATION: Protein-protein interaction (PPI) networks provide valuable insights into the function o...

The role of artificial intelligence-assisted endoscopy surveillance in clinical practice: controversies and future perspectives.

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network.

Plasma protein biomarkers have been considered promising tools for diagnosing dementia subtypes due ...