Peptic Ulcer Disease

Artificial intelligence in gastric cancer: Application and future perspectives.

Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a 5-ye...

[Risk factors for postoperative intestinal obstruction in patients undergoing robot-assisted laparoscopic radical prostatectomy].

To analyze the risk factors of postoperative intestinal obstruction (POI) in patients undergoing ro...

Robotics in flexible endoscopy: current status and future prospects.

PURPOSE OF REVIEW: Advanced endoscopy procedures are technically challenging and require extensive t...

Colon capsule endoscopy versus CT colonography after incomplete colonoscopy. Application of artificial intelligence algorithms to identify complete colonic investigations.

BACKGROUND: Guidelines suggest computed tomography colonography (CTC) following incomplete optical c...

Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data.

Risk assessment tools for patients with gastrointestinal bleeding may be used for determining level ...

Omitting Cortical Renorrhaphy in Robot-Assisted Partial Nephrectomy: Is it Safe? A Single Center Large Case Series.

Preserving renal function after robot-assisted partial nephrectomy (RAPN) is important and influenc...

Systematic analysis of supervised machine learning as an effective approach to predicate β-lactam resistance phenotype in Streptococcus pneumoniae.

Streptococcus pneumoniae is the most common human respiratory pathogen, and β-lactam antibiotics hav...

Improved Classification of Medical Data Using Meta-Best Feature Selection.

Feature selection provides a useful method for reducing the size of large data sets while maintainin...

Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy.

[Integration of production-university-research based on artificial intelligence for technological innovation and transformation in gastrointestinal surgery].

Medical artificial intelligence is a deeply integrated field of production-university-research. The ...

Artificial intelligence in the age of cognitive endoscopy.

Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

INTRODUCTION: The purpose of the current study is to determine the accuracy of machine learning in p...

Adding artificial intelligence to gastrointestinal endoscopy.

Protein-protein interaction site prediction through combining local and global features with deep neural networks.

MOTIVATION: Protein-protein interactions (PPIs) play important roles in many biological processes. C...

Artificial intelligence in gastrointestinal endoscopy: general overview.

Artificial intelligence (AI) is now a trendy subject in clinical medicine and especially in gastroin...

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

The volume of pelvic hematoma at CT has been shown to be the strongest independent predictor of majo...

An Assessment of Cariogenic and Erosive Potential of Pediatric Liquid Medicaments on Primary Teeth: A Comparative Study.

AIM: To compare the cariogenic and erosive potential of seven commonly prescribed pediatric liquid m...

Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Traditional statistical models allow population based inferences and comparisons. Machine learning (...

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

Laparoscopic hepatectomy has gained popularity owing to its merits, such as low invasiveness and red...

[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 vomit...

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 ...