Gastroenterology

GERD

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

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Machine learning classification and biochemical characteristics in the real-time diagnosis of gastric adenocarcinoma using Raman spectroscopy.

This study aimed to identify biomolecular differences between benign gastric tissues (gastritis/inte...

PPILS: Protein-protein interaction prediction with language of biological coding.

Protein-protein interactions within a cell are essential for various fundamental biological processe...

Impact of Artificial Intelligence on Gastroenterology Trainee Education.

Artificial intelligence (AI) is transforming gastroenterology, particularly in endoscopy, which has ...

Artificial Intelligence in Endoscopy Quality Measures.

Quality of gastrointestinal endoscopy is a major determinant of its effectiveness. Artificial intell...

The Role of Artificial Intelligence for Advanced Endoscopy.

Artificial intelligence (AI) application in gastroenterology has grown in the last decade and contin...

Structure-Based Approaches for Protein-Protein Interaction Prediction Using Machine Learning and Deep Learning.

Protein-Protein Interaction (PPI) prediction plays a pivotal role in understanding cellular processe...

The Role of Industry to Grow Clinical Artificial Intelligence Applications in Gastroenterology and Endoscopy.

The integration of artificial intelligence (AI) in health care has the potential to enhance diagnost...

Reducing reading time and assessing disease in capsule endoscopy videos: A deep learning approach.

BACKGROUND: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, o...

Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method.

Fluorescence imaging has been widely used in fields like (pre)clinical imaging and other domains. Wi...

Predictive value of CT-based and AI-reconstructed 3D-TAPSE in patients undergoing transcatheter tricuspid valve repair.

BACKGROUND: The tricuspid annular plane systolic excursion (TAPSE) assessed by echocardiography has ...

Machine Learning of Endoscopy Images to Identify, Classify, and Segment Sinonasal Masses.

BACKGROUND: We developed and assessed the performance of a machine learning model (MLM) to identify,...

MAGPIE: A Machine Learning Approach to Decipher Protein-Protein Interactions in Human Plasma.

Immunoprecipitation coupled to tandem mass spectrometry (IP-MS/MS) methods are often used to identif...

A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning.

Postpartum depression (PPD) poses significant risks to maternal and infant health, yet proteomic ana...

Meta-Learning Enables Complex Cluster-Specific Few-Shot Binding Affinity Prediction for Protein-Protein Interactions.

Predicting protein-protein interaction (PPI) binding affinities in unseen protein complex clusters i...

Deciphering Necroptosis-Associated Molecular Subtypes in Acute Ischemic Stroke Through Bioinformatics and Machine Learning Analysis.

Acute ischemic stroke (AIS) is a severe disorder characterized by complex pathophysiological process...

[Telemedicine and AI-supported diagnostics in the daily routine of visceral medicine].

Advances in telemedicine, exemplified by augmented reality (AR) and virtual reality (VR), are rapidl...

Analysis of diagnostic genes and molecular mechanisms of Crohn's disease and colon cancer based on machine learning algorithms.

Crohn's disease (CD) is a chronic inflammatory bowel condition, and colon adenocarcinoma (COAD), as ...

Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions.

Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary dis...

Interpretable machine learning-driven biomarker identification and validation for Alzheimer's disease.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by limited effective treatmen...

Effect of artificial intelligence-based video-game system on dysphagia in patients with stroke: A randomized controlled trial.

BACKGROUND AND AIMS: Post-stroke dysphagia is highly prevalent and causes complication. While video ...

Predicting candidate biomarkers for COVID-19 associated with leukemia in children.

Since the COVID-19 pandemic, a significant number of pediatric leukemia patients have shown to have ...

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