Peptic Ulcer Disease

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

High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.

OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylori) infection.

[A Case of Jejunal Ectopic Pancreatic Cancer with Intestinal Perforation].

This patient was a 96-year-old woman. She was referred to our hospital with abdominal pain and vomiting. The levels of the tumor markers CEA and CA19-...

[Surgical Outcomes of Laparoscopic Repeat Hepatectomy at Our Institution].

Laparoscopic hepatectomy has gained popularity owing to its merits, such as low invasiveness and reduced bleeding. However, the efficacy of laparoscop...

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

To explore the feasibility of using da Vinci Surgical System to perform supraomohyoid neck dissection (SOND) to avoid visible scar and reduce trauma....

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

Protein-protein interactions (PPIs) are important for the study of protein functions and pathways involved in different biological processes, as well ...

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 computational biology problem. To address this proble...

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 gastrointestinal bleedings when the reasons of bleeding cannot b...

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 challenging for inexperienced doctors. Generally, it is diff...

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 the occurrence of a variety of diseases or complica...

A Miniaturized Capsule Endoscope Equipped a Marking Module for Intestinal Tumor Localization.

This study introduces a miniaturized capsule endoscope equipped with a marking module for intestinal tumor or lesion localization. The design concept ...

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 human digestive system. Automatic WCE image analysi...

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 for the diagnostic decision and treatment in an em...

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

At present, there still exist some limitations in the laparoscopic surgery robot represented by da Vinci surgical robot, such as the lack of force fee...

Application of artificial intelligence in gastroenterology.

Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of a...

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 that can minimize patients suffering from the side...

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

Artificial Intelligence-Assisted Gastroenterology- Promises and Pitfalls.

Technological advances in artificial intelligence (AI) represent an enticing opportunity to benefit gastroenterological practice. Moreover, AI, throug...

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, unveiling how proteins interact is a crucial quest...