ArticleWorld journal of gastroenterology2023
Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022.
Article in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic accuracy of computer-aided detection for colorectal polyps of any size, ≤ 5 mm, and 6-9 mm: a meta-analysis.World journal of surgical oncology · 2026Pooled it
- Comparative bibliometric analysis of artificial intelligence-assisted polyp diagnosis and AI-assisted digestive endoscopy: trends and growth in AI gastroenterology (2003-2023).Frontiers in medicine · 2024Pooled it
- A novel Artificial Intelligence-assisted white light endoscopic model in the diagnosis of cardia atrophy: a multicenter study.Annals of medicine and surgery (2012) · 2026Article
- Two decades of artificial intelligence in colon cancer diagnosis and treatment: a bibliometric analysis of research trends (2003-2023).Updates in surgery · 2026Review
- Opportunities and challenges of artificial intelligence-assisted endoscopy and high-quality data for esophageal squamous cell carcinoma.World journal of gastrointestinal oncology · 2026Review
- Global research trends on the gut microbiota and immunotherapy for colorectal cancer: a bibliometric analysis.Translational gastroenterology and hepatology · 2026Article
- Some comments on using of Web of Science Core Collection for bibliometric studies in volume 29 of theWorld journal of methodology · 2025Article
- Venture Capital Investments in Gastroenterology from 2012 to 2022: A Window into the Future of Gastroenterology.Digestive diseases and sciences · 2025Article
- Survey on the perceptions of Asian endoscopists to artificial intelligence.Communications medicine · 2025Article
- Analyzing research trends in the relationship between immunosuppressants and cancer following organ transplantation: a bibliometric study from 2001 to 2023.Discover oncology · 2025Article
- Topic highlight on texture and color enhancement imaging in gastrointestinal diseases.World journal of gastroenterology · 2024Article
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Authors and funding
3 authors.
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Abstract
backgroundRecently, artificial intelligence (AI) has been widely used in gastrointestinal endoscopy examinations.
aimTo comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive diseases using bibliometric analysis.
methodsRelevant publications from the Web of Science published from 1990 to 2022 were extracted using a combination of the search terms "AI" and "endoscopy". The following information was recorded from the included publications: Title, author, institution, country, endoscopy type, disease type, performance of AI, publication, citation, journal and H-index.
resultsA total of 446 studies were included. The number of articles reached its peak in 2021, and the annual citation numbers increased after 2006. China, the United States and Japan were dominant countries in this field, accounting for 28.7%, 16.8%, and 15.7% of publications, respectively. The Tada Tomohiro Institute of Gastroenterology and Proctology was the most influential institution. "Cancer" and "polyps" were the hotspots in this field. Colorectal polyps were the most concerning and researched disease, followed by gastric cancer and gastrointestinal bleeding. Conventional endoscopy was the most common type of examination. The accuracy of AI in detecting Barrett's esophagus, colorectal polyps and gastric cancer from 2018 to 2022 is 87.6%, 93.7% and 88.3%, respectively. The detection rates of adenoma and gastrointestinal bleeding from 2018 to 2022 are 31.3% and 96.2%, respectively.
conclusionAI could improve the detection rate of digestive tract diseases and a convolutional neural network-based diagnosis program for endoscopic images shows promising results.
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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.