Gastroenterology

Peptic Ulcer Disease

Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.

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Effect of artificial intelligence implementation to the latest generation 4K colonoscopy.

<b>Indroduction:</b> Colonoscopy is an acclaimed screening test to detect colorectal can...

New GO-based measures in multiple network alignment.

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

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 ...

INTREPPPID-an orthologue-informed quintuplet network for cross-species prediction of protein-protein interaction.

An overwhelming majority of protein-protein interaction (PPI) studies are conducted in a select few ...

DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learning.

Protein-protein interactions (PPIs) play a vital role in cellular functions and are essential for th...

DACVNet: Dual Attention Concatenation Volume Net for Stereo Endoscope 3D Reconstruction.

Depth estimation is a crucial task in endoscopy for three-dimensional reconstruction, surgical navig...

Improving Endoscopy Lesion Classification Using Self-Supervised Deep Learning.

In this work, we assess the impact of self-supervised learning (SSL) approaches on the detection of ...

Grade classification of nasal obstruction from endoscopy videos using machine learning.

Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approxima...

Learning Enabled Control for Optimal EPO Dosage in Virtual CKD Patients: Case of Bleeding and Missing Dosage.

Traditional model-based control methods require predictive models to design control policies. These ...

Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward.

The present letter to the editor is related to the study with the title "Automatic detection of smal...

ATN-Res2Unet: an advanced deep learning network for the elimination of saturation artifacts in endoscopy optical coherence tomography.

Endoscopic optical coherence tomography (OCT) possesses the capability to non-invasively image inter...

AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study.

BACKGROUND: Capsule endoscopy reading is time consuming, and readers are required to maintain attent...

Robot-assisted laparoscopic surgery for rectal cancer in a patient with a horseshoe kidney: A case report.

A 52-year-old, Japanese man presented to the hospital with a complaint of anal bleeding, and detaile...

Surveying biomedical relation extraction: a critical examination of current datasets and the proposal of a new resource.

Natural language processing (NLP) has become an essential technique in various fields, offering a wi...

Automatic detection of small bowel lesions with different bleeding risks based on deep learning models.

BACKGROUND: Deep learning provides an efficient automatic image recognition method for small bowel (...

ASD2023: towards the integrating landscapes of allosteric knowledgebase.

Allosteric regulation, induced by perturbations at an allosteric site topographically distinct from ...

Integration of transcriptome and machine learning to identify the potential key genes and regulatory networks affecting drip loss in pork.

Low level of drip loss (DL) is an important quality characteristic of meat with high economic value....

Elevated tissue factor pathway inhibitor is associated with intracerebral haemorrhage of unknown cause in young adults.

CLINICAL RATIONALE FOR STUDY: We have reported that intracerebral haemorrhage (ICH) of unknown cause...

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