GERD

Artificial intelligence in endoscopy: transition from academic development to integration into daily endoscopic practice.

Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy.

AIMS: To compare endoscopy gastric cancer images diagnosis rate between artificial intelligence (AI)...

Robotic mitral valve plasty for isolated clefts of mitral valve leaflets.

A 21-year-old female patient referred to our institute had been suffering from severe mitral valve r...

Deep Learning for Automatic Hyoid Tracking in Videofluoroscopic Swallow Studies.

The hyoid bone excursion is one of the most important gauges of larynx elevation in swallowing, cont...

Endoscopy image enhancement method by generalized imaging defect models based adversarial training.

Smoke, uneven lighting, and color deviation are common issues in endoscopic surgery, which have incr...

The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection.

Automatic voice pathology detection is a research topic, which has gained increasing interest recent...

Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models.

To visualise the tumours inside the body on a screen, a long and thin tube is inserted with a light ...

Recognition of Protein Network for Bioinformatics Knowledge Analysis Using Support Vector Machine.

Protein is the material foundation of living things, and it directly takes part in and runs the proc...

Incidence and resolution of de novo hydronephrosis after pediatric robot-assisted laparoscopic extravesical ureteral reimplantation for primary vesicoureteral reflux.

INTRODUCTION: With the advent of robot-assisted laparoscopic ureteral reimplantation (RALUR) for pri...

Identifying Protein Subcellular Locations With Embeddings-Based node2loc.

Identifying protein subcellular locations is an important topic in protein function prediction. Inte...

Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy.

Artificial intelligence (AI) is widely used to analyze gastrointestinal (GI) endoscopy image data. A...

Hierarchical representation for PPI sites prediction.

BACKGROUND: Protein-protein interactions have pivotal roles in life processes, and aberrant interact...

Diagnostic Accuracy of Wireless Capsule Endoscopy in Polyp Recognition Using Deep Learning: A Meta-Analysis.

AIM: As the completed studies have small sample sizes and different algorithms, a meta-analysis was ...

All-fiber high-speed image detection enabled by deep learning.

Ultra-high-speed imaging serves as a foundation for modern science. While in biomedicine, optical-fi...

Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy.

: Capsule endoscopy (CE) for bowel cleanliness evaluation primarily depends on subjective methods. T...

Recent advances in predicting protein-protein interactions with the aid of artificial intelligence algorithms.

Protein-protein interactions (PPIs) are essential in the regulation of biological functions and cell...

Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model.

BACKGROUND: The investigation of possible interactions between two proteins in intracellular signali...

Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images.

Endoscopic evaluation to reliably grade disease activity, detect complications including cancer and ...

Residue-Frustration-Based Prediction of Protein-Protein Interactions Using Machine Learning.

The study of protein-protein interactions (PPIs) is important in understanding the function of prote...

Deep Learning Analysis to Automatically Detect the Presence of Penetration or Aspiration in Videofluoroscopic Swallowing Study.

BACKGROUND: Videofluoroscopic swallowing study (VFSS) is currently considered the gold standard to p...

Development and validation of a deep learning-based algorithm for colonoscopy quality assessment.

BACKGROUND: Quality indicators should be assessed and monitored to improve colonoscopy quality in cl...