ArticleTherapeutic advances in gastroenterology2023
An explainable artificial intelligence system for diagnosing
Article in Therapeutic advances in gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Novel endoscopic techniques for the diagnosis of gastricFrontiers in microbiology · 2024Pooled it
- Artificial intelligence-assisted endoscopic diagnosis system for diagnosing Helicobacter pylori infection: a multicenter study.BMC medicine · 2025Article
- Article
- Prevalence of Helicobacter pylori infection in the general population in Wuzhou, China: a cross-sectional study.Infectious agents and cancer · 2025Article
- Applications of artificial intelligence in gastroscopy: a narrative review.The Journal of international medical research · 2024Review
- Use of artificial intelligence for the detection ofAnnals of gastroenterologyArticle
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Changes in gastric mucosa caused by Objective: We aim to develop an explainable artificial intelligence system for diagnosing Design: A case-control study. Methods: We retrospectively obtained 47,239 images from 1826 patients between 1 June 2020 and 31 July 2021 at Renmin Hospital of Wuhan University for the development of EADHI. EADHI was developed based on feature extraction combining ResNet-50 and long short-term memory networks. Nine endoscopic features were used for Results: The system extracted mucosal features for diagnosing Conclusion: The EADHI discerns Plain language summary:
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Registered trials
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