AIMC Topic: Helicobacter Infections
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Two-tiered deep-learning-based model for histologic diagnosis of Helicobacter gastritis.
Histopathology
Jul 31, 2023
AIMS: Helicobacter pylori (HP) infection is the most common cause of chronic gastritis worldwide. Due to the small size of HP and limited resolution, diagnosing HP infections is more difficult when using digital slides.
Artificial intelligence for evaluating the risk of gastric cancer: reliable detection and scoring of intestinal metaplasia with deep learning algorithms.
Gastrointestinal endoscopy
Jun 29, 2023
BACKGROUND AND AIMS: Gastric cancer (GC) is associated with chronic gastritis. To evaluate the risk, the Operative Link on Gastric Intestinal Metaplasia Assessment (OLGIM) system was constructed and showed a higher GC risk in stage III or IV patients...
Assessment of Helicobacter pylori infection by deep learning based on endoscopic videos in real time.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Mar 3, 2023
BACKGROUND AND AIMS: Endoscopic assessment of Helicobacter pylori infection is a simple and effective method. Here, we aimed to develop a deep learning-based system named Intelligent Detection Endoscopic Assistant-Helicobacter pylori (IDEA-HP) to ass...
A deep learning method to assist with chronic atrophic gastritis diagnosis using white light images.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
May 21, 2022
BACKGROUND: Chronic atrophic gastritis is a common preneoplastic condition of the stomach with a low detection rate during endoscopy.
Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome.
Nature communications
Mar 26, 2021
The stomach is inhabited by diverse microbial communities, co-existing in a dynamic balance. Long-term use of drugs such as proton pump inhibitors (PPIs), or bacterial infection such as Helicobacter pylori, cause significant microbial alterations. Ye...
Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies.
BMC gastroenterology
Dec 11, 2020
BACKGROUND: Helicobacter pylori, a 2 × 1 μm spiral-shaped bacterium, is the most common risk factor for gastric cancer worldwide. Clinically, patients presenting with symptoms of gastritis, routinely undergo gastric biopsies. The following histo-morp...
Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy.
Journal of medical Internet research
Sep 16, 2020
BACKGROUND: Helicobacter pylori plays a central role in the development of gastric cancer, and prediction of H pylori infection by visual inspection of the gastric mucosa is an important function of endoscopy. However, there are currently no establis...
Utilizing artificial intelligence in endoscopy: a clinician's guide.
Expert review of gastroenterology & hepatology
Jun 17, 2020
INTRODUCTION: Artificial intelligence (AI) that surpasses human ability in image recognition is expected to be applied in the field of gastrointestinal endoscopes. Accordingly, its research and development (R &D) is being actively conducted. With the...
Humans
Deep Learning
Rectal Diseases
Stomach Neoplasms
Colorectal Neoplasms
Capsule Endoscopy
Precancerous Conditions
Pharyngeal Neoplasms
Gastrointestinal Neoplasms
Endoscopy, Gastrointestinal
Colonic Polyps
Esophageal Neoplasms
Image Interpretation, Computer-Assisted
Helicobacter Infections
Helicobacter pylori
Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video).
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
May 7, 2020
BACKGROUND: Helicobacter pylori (H. pylori) eradication is required to reduce incidence related to gastric cancer. Recently, it was found that even after the successful eradication of H. pylori, an increased, i.e., moderate, risk of gastric cancer pe...
Atrophy
Endoscopy, Digestive System
Humans
Prospective Studies
Feasibility Studies
Color
Female
Image Enhancement
Helicobacter Infections
Aged
Diagnosis, Computer-Assisted
Gastric Mucosa
Helicobacter pylori
Sensitivity and Specificity
Deep Learning
Predictive Value of Tests
Male
Area Under Curve
Middle Aged
Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Oct 2, 2019
BACKGROUND AND AIM: It is necessary to establish universal methods for endoscopic diagnosis of Helicobacter pylori (HP) infection, such as computer-aided diagnosis. In the present study, we propose a multistage diagnosis algorithm for HP infection.
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