AIMC Topic: Helicobacter pylori
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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...
A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis With Results Comparable to Gastrointestinal Pathologists.
Archives of pathology & laboratory medicine
Jan 1, 2022
CONTEXT.—: Pathology studies using convolutional neural networks (CNNs) have focused on neoplasms, while studies in inflammatory pathology are rare. We previously demonstrated a CNN that differentiates reactive gastropathy, Helicobacter pylori gastri...
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
High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.
Clinical and translational gastroenterology
Dec 1, 2019
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. pylo...
Breath Tests
Carbon Isotopes
Biopsy
Endoscopy, Gastrointestinal
Helicobacter Infections
Helicobacter pylori
Gastroscopy
Gastric Mucosa
ROC Curve
Decision Support Systems, Clinical
Image Processing, Computer-Assisted
Middle Aged
Humans
Deep Learning
Adult
Pilot Projects
Male
Retrospective Studies
Female
The influence of vitamin D deficiency on eradication rates of Helicobacter pylori.
Advances in clinical and experimental medicine : official organ Wroclaw Medical University
Dec 1, 2017
BACKGROUND: Helicobacter pylori eradication therapy improves the healing of various gastro-duodenal diseases such as chronic gastritis and peptic ulcer, and also reduces gastric cancer incidence. Several studies have reported on risk factors other th...
An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.
Molecular bioSystems
Jul 25, 2017
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems...
Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
Oncotarget
Apr 4, 2017
Identification of protein-protein interactions (PPIs) is of critical importance for deciphering the underlying mechanisms of almost all biological processes of cell and providing great insight into the study of human disease. Although much effort has...
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