GERD

[The Digital Transformation(Dx)of Endoscopic Examinations].

Artificial intelligence(AI)and information and communication technology(ICT)are beginning to be used...

[Clinical effects of robot-assisted esophageal hiatal hernia repair and laparoscopic esophageal hiatal hernia repair: a retrospective comparative study].

To analyze the short-term clinical effects of robot-assisted and laparoscopic repair of the hiatal ...

Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.

The application of artificial intelligence (AI) has great promise for improving pediatric endoscopy....

Machine learning on protein-protein interaction prediction: models, challenges and trends.

Protein-protein interactions (PPIs) carry out the cellular processes of all living organisms. Experi...

PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk.

Post-translational modifications (PTMs) fine-tune various signaling pathways not only by the modific...

AFTGAN: prediction of multi-type PPI based on attention free transformer and graph attention network.

MOTIVATION: Protein-protein interaction (PPI) networks and transcriptional regulatory networks are c...

[Artificial intelligence in gastrointestinal endoscopy].

Artificial intelligence and capsule endoscopy: automatic detection of enteric protruding lesions using a convolutional neural network.

BACKGROUND AND AIMS: capsule endoscopy (CE) revolutionized the study of the small intestine. Neverth...

HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction.

MOTIVATION: Biological experimental approaches to protein-protein interaction (PPI) site prediction ...

[Robot and telerobotic operation for soft endoscopy].

DockNet: high-throughput protein-protein interface contact prediction.

MOTIVATION: Over 300 000 protein-protein interaction (PPI) pairs have been identified in the human p...

AlphaPulldown-a python package for protein-protein interaction screens using AlphaFold-Multimer.

SUMMARY: The artificial intelligence-based structure prediction program AlphaFold-Multimer enabled s...

The scientific progress and prospects of artificial intelligence in digestive endoscopy: A comprehensive bibliometric analysis.

Artificial intelligence (AI) has been used for diagnosis and outcome prediction in clinical practice...

Deep learning identifies explainable reasoning paths of mechanism of action for drug repurposing from multilayer biological network.

The discovery and repurposing of drugs require a deep understanding of the mechanism of drug action ...

Enhanced segmentation of gastrointestinal polyps from capsule endoscopy images with artifacts using ensemble learning.

BACKGROUND: Endoscopy artifacts are widespread in real capsule endoscopy (CE) images but not in high...

Spatially variant deblur and image enhancement in a single multimode fiber imaged by deep learning.

A single multimode fiber has been applied in minimally invasive endoscopy with wavefront shaping for...

Artificial intelligence in gastrointestinal endoscopy - Evolution to a new era.

Artificial intelligence (AI) systems based on machine learning have evolved in the last few years wi...

Clinical trial designs for artificial intelligence in gastrointestinal endoscopy.

Long-Term Outcome of Non-antireflux Robotic-Assisted Robot-Assisted Laparoscopic Ureter Reimplantation in Ureteral Obstruction.

Although robot-assisted laparoscopic ureter reimplantation (RALUR) is a recognized alternative to o...

Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease.

BACKGROUND: Valvular heart disease is an important contributor to cardiovascular morbidity and morta...

De novo molecular design with deep molecular generative models for PPI inhibitors.

We construct a protein-protein interaction (PPI) targeted drug-likeness dataset and propose a deep m...