ArticleDigestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society2026
Endoscopist and Patients' Values and Preferences on Artificial Intelligence in Endoscopy: An Intercontinental Opinion Survey by the World Endoscopy Organization.
Article in Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Ethical and Legal Implications of Implementing AI in Gastrointestinal Endoscopy.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2026Review
- Addressing Ethical, Legal, and Social Issues on Artificial Intelligence Together With Patients' Perspectives: Prerequisites for Responsible Social Implementation in Endoscopy.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2026Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
BACKGROUND AND
aimsArtificial intelligence (AI) is increasingly integrated into gastrointestinal (GI) endoscopy, yet limited data exist on how patients and endoscopists perceive its use. This study aimed to evaluate users' values and preferences regarding AI in endoscopy to support effective implementation and inform guideline development.
methodsAs part of the World Endoscopy Organization (WEO) AI committee initiatives, two structured international surveys were conducted-one for patients and one for practicing endoscopists. Thirteen AI-related statements were presented to patients via an established online platform, while 23 statements were shared with endoscopists through professional networks. Responses were captured using 5-point Likert scales and analyzed with non-parametric tests, including subgroup comparisons by age, gender, and endoscopic experience.
resultsA total of 1237 patients and 476 endoscopists participated. Most patients supported AI in image analysis (75.5%) but emphasized the need for endoscopist oversight (92.3%). Among endoscopists, 90.3% believed AI improves endoscopy quality, and 85.3% believed it benefits outcomes. Concerns were raised about liability (47%), operator dependency (34.8%), and procedure time (49%). Most respondents felt primary responsibility for AI-related errors should rest with the endoscopist. Younger and male patients reported greater trust in AI.
conclusionsPatients and endoscopists are generally supportive of AI in GI endoscopy, especially as an adjunct to human expertise. However, key concerns-including accountability, trust, and clinical integration-must be addressed to ensure responsible and effective adoption.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.