Peptic Ulcer Disease

Artificial intelligence in gastrointestinal endoscopy: how intelligent can it get?

[Robotic-assisted supraomohyoid neck dissection via retroauricular hairline incision].

To explore the feasibility of using da Vinci Surgical System to perform supraomohyoid neck dissecti...

Machine-learning techniques for the prediction of protein-protein interactions.

Protein-protein interactions (PPIs) are important for the study of protein functions and pathways in...

Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection?

Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.

MOTIVATION: Sequence-based protein-protein interaction (PPI) prediction represents a fundamental com...

Ontologic Model of Diagnostics and Treatment of Gastrointestinal Bleedings of Unknown Origin.

The article presents the semantic model of diagnostics and treatment of patients with gastrointestin...

Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging.

Wireless capsule endoscopy (WCE) is a swallowable device used for screening different parts of the h...

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks.

Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...

Real-Time Detection of Ureteral Orifice in Urinary Endoscopy Videos Based on Deep Learning.

In urology endoscopic procedures, the Ureteral Orifice (UO) finding is crucial but may be challengin...

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.

Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue ...

[A New Micro-traumatic Laparoscopic Surgery Robot System].

At present, there still exist some limitations in the laparoscopic surgery robot represented by da V...

Self-driving cars and AI-assisted endoscopy: Who should take the responsibility when things go wrong?

Emerging next-generation robotic colonoscopy systems towards painless colonoscopy.

Advances in the field of robotics have allowed modern technology to be integrated into medicine and ...

BIPSPI: a method for the prediction of partner-specific protein-protein interfaces.

MOTIVATION: Protein-Protein Interactions (PPI) are essentials for most cellular processes and thus, ...

Overview of Deep Learning in Gastrointestinal Endoscopy.

Artificial intelligence is likely to perform several roles currently performed by humans, and the ad...

A Survey on Medical Image Analysis in Capsule Endoscopy.

BACKGROUND AND OBJECTIVE: Capsule Endoscopy (CE) is a non-invasive, patient-friendly alternative to ...

Artificial intelligence and capsule endoscopy: Is the truly "smart" capsule nearly here?

Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches.

BACKGROUND: Targeting critical viral-host Protein-Protein Interactions (PPIs) has enormous applicati...

[Application of artificial intelligence in diagnosis of medical endoscope].

Through a brief overview of the origin and development of artificial intelligence, the research prog...

Prediction of human-Bacillus anthracis protein-protein interactions using multi-layer neural network.

MOTIVATION: Triplet amino acids have successfully been included in feature selection to predict huma...

Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy.

Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many ...