Peptic Ulcer Disease

Endoscopy-assisted magnetic navigation of biohybrid soft microrobots with rapid endoluminal delivery and imaging.

High-precision delivery of microrobots at the whole-body scale is of considerable importance for eff...

Advancing care for acute gastrointestinal bleeding using artificial intelligence.

The future of gastrointestinal bleeding will include the integration of machine learning algorithms ...

Challenges of developing artificial intelligence-assisted tools for clinical medicine.

Machine learning, a subset of artificial intelligence (AI), is a set of computational tools that can...

The exceptional performance of deep learning for capsule endoscopy: Will such quality be maintained in clinical scenarios?

Application of Artificial Intelligence in Gastrointestinal Endoscopy.

Artificial intelligence (AI), also known as computer-aided diagnosis, is a technology that enables m...

PV[O]H: Noninvasive Enabling Technology, New Physiological Monitoring, and Big Data.

INTRODUCTION: Measures of normal and abnormal physiology are interrelated and vary continuously. Our...

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.

BACKGROUND: The accuracy of current prediction tools for ischaemic and bleeding events after an acut...

Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.

OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural co...

Deep Learning for Protein-Protein Interaction Site Prediction.

Protein-protein interactions (PPIs) are central to cellular functions. Experimental methods for pred...

Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

OBJECTIVE: Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of po...

Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.

White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing...

Artificial intelligence in pancreaticobiliary endoscopy.

Artificial intelligence (AI) applications in health care have exponentially increased in recent year...

Artificial intelligence in gastrointestinal endoscopy.

Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise.

Neural network-based solutions are under development to alleviate physicians from the tedious task o...

Potentials of AI in medical image analysis in Gastroenterology and Hepatology.

With the advancement of artificial intelligence (AI) technology, it comes in a big wave carrying pos...

Is a Fundamental Design Change for Gastrointestinal Endoscopes Required?

Since the first fiberoptic instruments, gastrointestinal endoscopy has shaped the field of gastroent...

Improved Prediction of Protein-Protein Interaction Mapping on by Using Amino Acid Sequence Features in a Supervised Learning Framework.

BACKGROUND: Protein-Protein Interaction (PPI) has emerged as a key role in the control of many biolo...

Evolving role of artificial intelligence in gastrointestinal endoscopy.

Artificial intelligence (AI) is a combination of different technologies that enable machines to sens...

Gastric vascular abnormalities: diagnosis and management.

PURPOSE OF REVIEW: Gastric vascular abnormalities are a well known cause of gastrointestinal bleedin...

[Determination of sulfation degree of heparin and low molecular weight heparins by capillary electrophoresis].

Heparin is composed of a highly sulfated linear saccharide and is widely used as an anticoagulant. L...

[Clinical analysis of robot-assisted laparoscopic transabdominal preperitoneal inguinal hernia repair].

To explore the clinical value of robot-assisted laparoscopic transabdominal preperitoneal (TAPP) in...