ArticleDiagnostics (Basel, Switzerland)2024
Conversational LLM Chatbot ChatGPT-4 for Colonoscopy Boston Bowel Preparation Scoring: An Artificial Intelligence-to-Head Concordance Analysis.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Harnessing artificial intelligence in gastroenterology and hepatology: Current applications and future perspectives.World journal of hepatology · 2026Review
- Responsible use of large language models in gastroenterology and hepatology.Therapeutic advances in gastroenterology · 2026Review
- Editorial: The emerging role of large language model chatbots in gastroenterology and digestive endoscopy.Frontiers in medicine · 2026Article
- Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy.Journal of clinical medicine · 2025Review
- Enhancing gastroenterology with multimodal learning: the role of large language model chatbots in digestive endoscopy.Frontiers in medicine · 2025Article
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3 authors.
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Abstract
BACKGROUND/
objectivesTo date, no studies have evaluated Chat Generative Pre-Trained Transformer (ChatGPT) as a large language model chatbot in optical applications for digestive endoscopy images. This study aimed to weigh the performance of ChatGPT-4 in assessing bowel preparation (BP) quality for colonoscopy.
methodsChatGPT-4 analysed 663 anonymised endoscopic images, scoring each according to the Boston BP scale (BBPS). Expert physicians scored the same images subsequently.
resultsChatGPT-4 deemed 369 frames (62.9%) to be adequately prepared (i.e., BBPS > 1) compared to 524 frames (89.3%) assessed by human assessors. The agreement was slight (κ: 0.099,
conclusionsChatGPT-4 demonstrates some potential in assessing BP on colonoscopy images, but further refinement is still needed.
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Registered trials
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