Gastroenterology

GERD

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

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Deep learning approach for dysphagia detection by syllable-based speech analysis with daily conversations.

Dysphagia, a disorder affecting the ability to swallow, has a high prevalence among the older adults...

Predictors of residual tricuspid regurgitation after interventional therapy: an automated deep-learning CT analysis.

Computed tomography (CT) is used as a valuable tool for device selection for interventional therapy ...

Depth estimation from monocular endoscopy using simulation and image transfer approach.

Obtaining accurate distance or depth information in endoscopy is crucial for the effective utilizati...

Explainable machine learning for assessing upper respiratory tract of racehorses from endoscopy videos.

Laryngeal hemiplegia (LH) is a major upper respiratory tract (URT) complication in racehorses. Endos...

Applying 12 machine learning algorithms and Non-negative Matrix Factorization for robust prediction of lupus nephritis.

Lupus nephritis (LN) is a challenging condition with limited diagnostic and treatment options. In th...

An Automated Machine Learning-Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading.

BACKGROUND: Considering the high prevalence of mitral regurgitation (MR) and the highly subjective, ...

AI-KODA score application for cleanliness assessment in video capsule endoscopy frames.

BACKGROUND: Currently, there is no automated method for assessing cleanliness in video capsule endos...

Efficient artificial intelligence-based assessment of the gastroesophageal valve with Hill classification through active learning.

Standardized assessment of the gastroesophageal valve during endoscopy, attainable via the Hill clas...

High-Throughput Deep Learning Detection of Mitral Regurgitation.

BACKGROUND: Diagnosis of mitral regurgitation (MR) requires careful evaluation by echocardiography w...

EasyPISA: Automatic Integrated PISA Measurements of Mitral Regurgitation From 2-D Color-Doppler Using Deep Learning.

OBJECTIVE: The proximal isovelocity surface area (PISA) method is a well-established approach for mi...

Machine learning-assisted label-free colorectal cancer diagnosis using plasmonic needle-endoscopy system.

Early and accurate detection of colorectal cancer (CRC) is critical for improving patient outcomes. ...

DGCPPISP: a PPI site prediction model based on dynamic graph convolutional network and two-stage transfer learning.

BACKGROUND: Proteins play a pivotal role in the diverse array of biological processes, making the pr...

Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms.

BACKGROUND: Artificial intelligence (AI) using deep learning systems has recently been utilized in v...

A deep learning-driven discovery of berberine derivatives as novel antibacterial against multidrug-resistant Helicobacter pylori.

Helicobacter pylori (H. pylori) is currently recognized as the primary carcinogenic pathogen associa...

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