This paper is in the following e-collection/theme issue:

Artificial Intelligence (1662) Computer-Aided Diagnosis (173) Imaging Informatics (224)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21983, first published .
Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy

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

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

Authors of this article:

Chang Seok Bang1, 2, 3, 4 Author Orcid Image ;   Jae Jun Lee3, 4, 5 Author Orcid Image ;   Gwang Ho Baik1, 2 Author Orcid Image
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Sven Awege Sven Awege @SVENNIECO

Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review… https://t.co/ZWK3oEBsOD

3:10 PM · Sep 16, 2020

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: artificial intelligence (#AI) for the Prediction of Helicobacter Pylori Infection in Endoscopic Images… https://t.co/gwdKYMiMH2

3:44 PM · Sep 16, 2020

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Oncology & Machine Learning Oncology & Machine Learning @MlOncology

Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review… https://t.co/9sdl2aKrxl

7:10 AM · Sep 17, 2020

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TechnoJeder A.I. TechnoJeder A.I. @TechnoJeder

RT @MlOncology: Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Met…

7:13 AM · Sep 17, 2020

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