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

Artificial Intelligence (1773) Innovations and Technology in Cancer Care (469) Clinical Informatics (1176) Clinical Cancer Research (100) Imaging Informatics (239) Gastroenterology and Hepatology (82) Cancer Prognosis Models and Machine Learning (27) Methods in Cancer Research (42)

Published on in Vol 24, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27694, first published .
The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

Authors of this article:

Pei-Chin Chen1, 2 Author Orcid Image ;   Yun-Ru Lu2, 3 Author Orcid Image ;   Yi-No Kang4, 5, 6, 7 Author Orcid Image ;   Chun-Chao Chang8 Author Orcid Image
Article Authors Cited by (24) Tweetations (6) Metrics

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  16. Dinis-Ribeiro M, Libânio D, Uchima H, Spaander M, Bornschein J, Matysiak-Budnik T, Tziatzios G, Santos-Antunes J, Areia M, Chapelle N, Esposito G, Fernandez-Esparrach G, Kunovsky L, Garrido M, Tacheci I, Link A, Marcos P, Marcos-Pinto R, Moreira L, Pereira A, Pimentel-Nunes P, Romanczyk M, Fontes F, Hassan C, Bisschops R, Feakins R, Schulz C, Triantafyllou K, Carneiro F, Kuipers E. Management of epithelial precancerous conditions and early neoplasia of the stomach (MAPS III): European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter and Microbiota Study Group (EHMSG) and European Society of Pathology (ESP) Guideline update 2025. Endoscopy 2025;57(05):504 View
  17. Xu H, Gong T, Song X, Chen Q, Bao Q, Yao W, Xie M, Li C, Grzegorzek M, Shi Y, Sun H, Li X, Zhao Y, Gao S, Wu Q. Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews. Journal of Medical Internet Research 2025;27:e53567 View
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Books/Policy Documents

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