Gastroenterology

[Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives].

Artificial intelligence using deep learning has been applied to gastrointestinal disorders for the d...

Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy.

The goal of this study was to develop a semi-automated prediction approach of target shifts using ma...

Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images.

OBJECTIVES: A superficial nonampullary duodenal epithelial tumor (SNADET) is defined as a mucosal or...

Adding artificial intelligence to gastrointestinal endoscopy.

Artificial intelligence in gastrointestinal endoscopy: general overview.

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

Evaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images.

BACKGROUND: High-resolution MRI is regarded as the best method to evaluate whether there is an invol...

Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant).

INTRODUCTION: Peritoneal metastasis (PM) is a frequent condition in patients presenting with gastric...

[Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].

The rapid development of computer technologies brings us great changes in daily life and work. Artif...

Laparoscopic versus Robotic Peripheral Pancreatectomy: A Systematic Review and Meta-analysis.

PURPOSE: The current systematic review and meta-analysis aimed to compare Laparoscopic Distal Pancre...

Artificial Intelligence Applied to Gastrointestinal Diagnostics: A Review.

Artificial intelligence (AI), a discipline encompassed by data science, has seen recent rapid growth...

Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.

PURPOSE: To develop a deep convolutional neural network (CNN) model to categorize multiphase CT and ...

Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help.

Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especia...

PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology.

The diagnosis of disease often requires analysis of a biopsy. Many diagnoses depend not only on the ...

Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy.

BACKGROUND/AIM: To study the impact of computer-aided detection (CADe) system on the detection rate ...

Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors.

PURPOSE: To compare the accuracy and repeatability of emerging machine learning based (i.e. deep) au...

Lesion Image Synthesis Using DCGANs for Metastatic Liver Cancer Detection.

This chapter proposes a method to detect metastatic liver cancer from X-ray CT images using a convol...

Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis.

With the continuous development of artificial intelligence (AI) technology, big data-supported AI te...

Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning.

OBJECTIVE: The aim is to explore the prediction effect of 5 machine learning algorithms on peritonea...

[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement o...

Protective Effects of Mill. Fruit on Carbon Tetrachloride-induced Hepatotoxicity Mediated through Mitochondria and Restoration of Cellular Energy Content.

Quince ( Mill.) is one of the medicinal plant with a broad range of pharmacological activities such ...

Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.

BACKGROUND: Early diagnosis and accurate staging are important to improve the cure rate and prognosi...