AIMC Topic: Helicobacter Infections
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A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology.
Archives of pathology & laboratory medicine
Jun 27, 2019
CONTEXT.—: Most deep learning (DL) studies have focused on neoplastic pathology, with the realm of inflammatory pathology remaining largely untouched.
Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images.
Scandinavian journal of gastroenterology
Mar 17, 2019
BACKGROUND AND AIM: We recently reported the role of artificial intelligence in the diagnosis of Helicobacter pylori (H. pylori) gastritis on the basis of endoscopic images. However, that study included only H. pylori-positive and -negative patients,...
Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.
Alimentary pharmacology & therapeutics
Feb 13, 2019
BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have an increased risk of recurring ulcer complications.
INHIBITORY ACTIVITY OF MANGIFERIN ON PYLORI-INDUCED INFLAMMATION IN HUMAN GASTRIC CARCINOMA AGS CELLS.
African journal of traditional, complementary, and alternative medicines : AJTCAM
Nov 23, 2016
BACKGROUND: Gastric cancer is a serious health issue caused by and claims more lives in developing and undeveloped countries. Hence, the need for a natural drug with several pharmacological activities with no adverse effect are highly recommended. T...
Comparative evaluation of the accuracy and reliability of ChatGPT versions in providing information on infection.
Frontiers in public health
Jan 1, 2025
OBJECTIVE: This study aimed to evaluate the accuracy and reliability of responses provided by three versions of ChatGPT (ChatGPT-3.5, ChatGPT-4, and ChatGPT-4o) to questions related to (Hp) infection, as well as to explore their potential applicatio...
Artificial Intelligence in Endoscopy for Predicting Helicobacter pylori Infection: A Systematic Review and Meta-Analysis.
Helicobacter
Jan 1, 2025
PURPOSE: This meta-analysis aimed to assess the diagnostic performance of artificial intelligence (AI) based on endoscopy for detecting Helicobacter pylori (H. pylori) infection.
Artificial Intelligence-Generated Patient Education Materials for Helicobacter pylori Infection: A Comparative Analysis.
Helicobacter
Jan 1, 2024
BACKGROUND: Patient education contributes to improve public awareness of Helicobacter pylori. Large language models (LLMs) offer opportunities to revolutionize patient education transformatively. This study aimed to assess the quality of patient educ...
Letter: predictive model for gastric cancer after eradication of Helicobacter pylori-a survival analysis using a deep learning algorithm.
Alimentary pharmacology & therapeutics
Aug 1, 2021
Letter: predictive model for gastric cancer after eradication of Helicobacter pylori-a survival analysis using a deep learning algorithm. Authors' reply.
Alimentary pharmacology & therapeutics
Aug 1, 2021
Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.
Journal of gastroenterology and hepatology
Jan 1, 2021
White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing upper gastrointestinal (GI) pathology. However, missed lesions remain a challenge. To overcome interobserver variability and learning curve issues, a...
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