[HTML][HTML] Artificial intelligence for the prediction of Helicobacter pylori infection in endoscopic images: systematic review and meta-analysis of diagnostic test accuracy

CS Bang, JJ Lee, GH Baik - Journal of medical Internet research, 2020 - jmir.org
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 …

Application of artificial intelligence in endoscopic image analysis for the diagnosis of a gastric cancer pathogen-Helicobacter pylori infection

CH Lin, PI Hsu, CD Tseng, PJ Chao, IT Wu, S Ghose… - Scientific Reports, 2023 - nature.com
Helicobacter pylori (H. pylori) infection is the principal cause of chronic gastritis, gastric
ulcers, duodenal ulcers, and gastric cancer. In clinical practice, diagnosis of H. pylori …

High accuracy of convolutional neural network for evaluation of Helicobacter pylori infection based on endoscopic images: preliminary experience

W Zheng, X Zhang, JJ Kim, X Zhu, G Ye… - Clinical and …, 2019 - journals.lww.com
OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is
increasing. The aim of the study was to examine the accuracy of convolutional neural …

[HTML][HTML] Convolutional neural networks in the computer-aided diagnosis of Helicobacter pylori infection and non-causal comparison to physician endoscopists: a …

BP Mohan, SR Khan, LL Kassab… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background Helicobacter pylori (H. pylori) infection, if left untreated, can cause gastric
cancer, among other serious morbidities. In recent times, a growing body of evidence has …

[HTML][HTML] The accuracy of artificial intelligence in the endoscopic diagnosis of early gastric cancer: pooled analysis study

PC Chen, YR Lu, YN Kang, CC Chang - Journal of medical Internet …, 2022 - jmir.org
Background Artificial intelligence (AI) for gastric cancer diagnosis has been discussed in
recent years. The role of AI in early gastric cancer is more important than in advanced gastric …

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

S Shichijo, Y Endo, K Aoyama, Y Takeuchi… - Scandinavian journal …, 2019 - Taylor & Francis
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 …

Application of convolutional neural networks in the diagnosis of Helicobacter pylori infection based on endoscopic images

S Shichijo, S Nomura, K Aoyama, Y Nishikawa… - …, 2017 - thelancet.com
Background and aims The role of artificial intelligence in the diagnosis of Helicobacter pylori
gastritis based on endoscopic images has not been evaluated. We constructed a …

Systematic review and meta-analysis: Artificial intelligence for the diagnosis of gastric precancerous lesions and Helicobacter pylori infection

E Dilaghi, E Lahner, B Annibale, G Esposito - Digestive and Liver Disease, 2022 - Elsevier
Background The endoscopic diagnosis of Helicobacter-pylori (H. pylori) infection and gastric
precancerous lesions (GPL), namely atrophic-gastritis and intestinal-metaplasia, still …

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

T Yasuda, T Hiroyasu, S Hiwa, Y Okada… - Digestive …, 2020 - Wiley Online Library
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 …

[HTML][HTML] Use of digital pathology and artificial intelligence for the diagnosis of Helicobacter pylori in gastric biopsies

DS Liscia, M D'Andrea, E Biletta, D Bellis, K Demo… - Pathologica, 2022 - ncbi.nlm.nih.gov
Objective A common source of concern about digital pathology (DP) is that limited resolution
could be a reason for an increased risk of malpractice. A frequent question being raised …