Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy

Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

(2020) Rana Abdullah et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images

(2019) Satoki Shichijo et al.   SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY

The most influential articles in Helicobacter pylori research: A bibliometric analysis

(2019) Chang Seok Bang et al.   HELICOBACTER

Application of artificial intelligence in gastroenterology

(2019) Young Joo Yang et al.   WORLD JOURNAL OF GASTROENTEROLOGY

Prediction of Chronic Atrophic Gastritis and Gastric Neoplasms by Serum Pepsinogen Assay: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy

(2019) Bang et al.   Journal of Clinical Medicine

Linked Color Imaging and the Kyoto Classification of Gastritis: Evaluation of Visibility and Inter-Rater Reliability

(2019) Tsutomu Takeda et al.   DIGESTION

Can image‐enhanced endoscopy improve the diagnosis of Kyoto classification of gastritis in the clinical setting?

(2019) Osamu Dohi et al.   Digestive Endoscopy

Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network

(2019) Bum-Joo Cho et al.   ENDOSCOPY

Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps

(2019) Bum-Joo Cho et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection

(2019) Takeshi Yasuda et al.   Digestive Endoscopy

Concordance Between Watson for Oncology and a Multidisciplinary Clinical Decision-Making Team for Gastric Cancer and the Prognostic Implications: Retrospective Study

(2019) Yulong Tian et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images

(2019) Wenfang Zheng et al.   Clinical and Translational Gastroenterology

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies

(2018) Matthew D. F. McInnes et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Global Prevalence of Helicobacter pylori Infection: Systematic Review and Meta-Analysis

(2017) James K.Y. Hooi et al.   GASTROENTEROLOGY

Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images

(2017) Satoki Shichijo et al.   EBioMedicine

Helicobacter pyloriEradication for Prevention of Metachronous Recurrence after Endoscopic Resection of Early Gastric Cancer

(2015) Chang Seok Bang et al.   JOURNAL OF KOREAN MEDICAL SCIENCE

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE

Prediction ofHelicobacter pyloriStatus by Conventional Endoscopy, Narrow-Band Imaging Magnifying Endoscopy in Stomach after Endoscopic Resection of Gastric Cancer

(2013) Kazuyoshi Yagi et al.   HELICOBACTER

Comprehensive Investigation of Areae Gastricae Pattern in Gastric Corpus using Magnifying Narrow Band Imaging Endoscopy in Patients with Chronic Atrophic Fundic Gastritis

(2012) Hiromitsu Kanzaki et al.   HELICOBACTER

Helicobacter Pylori-Related Gastric Histology Classification Using Support-Vector-Machine-Based Feature Selection

(2008) Chun-Rong Huang et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE