ArticleDigestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society2024
Artificial intelligence quantifying endoscopic severity of ulcerative colitis in gradation scale.
Article in Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
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Who cites it
14 citing papers in PubMed.
- Article
- New Technologies for IBD Endoscopy.Journal of clinical medicine · 2026Review
- Artificial intelligence in inflammatory bowel disease: Current applications and future directions.World journal of gastroenterology · 2025Review
- Artificial Intelligence-Enabled Clinical Trials in Inflammatory Bowel Disease: Automating and Enhancing Disease Assessment and Study Management.Gastroenterology · 2025Review
- Artificial Intelligence in Advancing Inflammatory Bowel Disease Management: Setting New Standards.Cancers · 2025Review
- Artificial Intelligence in Inflammatory Bowel Disease Endoscopy.Diagnostics (Basel, Switzerland) · 2025Review
- Artificial Intelligence-assisted Video Colonoscopy for Disease Monitoring of Ulcerative Colitis: A Prospective Study.Journal of Crohn's & colitis · 2025Article
- Enhancing diagnostics: ChatGPT-4 performance in ulcerative colitis endoscopic assessment.Endoscopy international open · 2025Article
- Artificial intelligence in advanced endoscopic imaging: transforming optical diagnosis in gastroenterology.Frontiers in medicine · 2025Review
- Artificial intelligence in inflammatory bowel disease endoscopy - a review of current evidence and a critical perspective on future challenges.Therapeutic advances in gastroenterology · 2025Review
- Artificial intelligence-enabled advanced endoscopic imaging to assess deep healing in inflammatory bowel disease.eGastroenterology · 2024Review
- Deep mucosal healing in ulcerative colitis: how deep is better?Frontiers in medicine · 2024Review
- AI and endoscopy/histology in UC: the rise of machine.Therapeutic advances in gastroenterology · 2024Review
- Clinical value of the Toronto inflammatory bowel disease global endoscopic reporting score in ulcerative colitis.World journal of gastroenterology · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectivesExisting endoscopic scores for ulcerative colitis (UC) objectively categorize disease severity based on the presence or absence of endoscopic findings; therefore, it may not reflect the range of clinical severity within each category. However, inflammatory bowel disease (IBD) expert endoscopists categorize the severity and diagnose the overall impression of the degree of inflammation. This study aimed to develop an artificial intelligence (AI) system that can accurately represent the assessment of the endoscopic severity of UC by IBD expert endoscopists.
methodsA ranking-convolutional neural network (ranking-CNN) was trained using comparative information on the UC severity of 13,826 pairs of endoscopic images created by IBD expert endoscopists. Using the trained ranking-CNN, the UC Endoscopic Gradation Scale (UCEGS) was used to express severity. Correlation coefficients were calculated to ensure that there were no inconsistencies in assessments of severity made using UCEGS diagnosed by the AI and the Mayo Endoscopic Subscore, and the correlation coefficients of the mean for test images assessed using UCEGS by four IBD expert endoscopists and the AI.
resultsSpearman's correlation coefficient between the UCEGS diagnosed by AI and Mayo Endoscopic Subscore was approximately 0.89. The correlation coefficients between IBD expert endoscopists and the AI of the evaluation results were all higher than 0.95 (P < 0.01).
conclusionsThe AI developed here can diagnose UC severity endoscopically similar to IBD expert endoscopists.
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Registered trials
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