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SYSTEMATIC REVIEW article

Front. Med.
Sec. Gastroenterology
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1438979

Comparative Bibliometric Analysis of AI-Assisted Polyp Diagnosis and AI-Assisted Digestive Endoscopy: Trends and Growth in AI Gastroenterology (2003-2023)

Provisionally accepted
Ziye Peng Ziye Peng 1Xiangyu Wang Xiangyu Wang 1Jiaxin Li Jiaxin Li 1Jiayi Sun Jiayi Sun 2Yuwei Wang Yuwei Wang 2Yanru Li Yanru Li 2Wen Li Wen Li 2Shuyi Zhang Shuyi Zhang 2Xi M. Wang Xi M. Wang 3Zhengcun Pei Zhengcun Pei 1*
  • 1 Tianjin University, Tianjin, China
  • 2 Tianjin Union Medical Center, Tianjin, China
  • 3 Tianjin Third Central Hospital, Tianjin, China

The final, formatted version of the article will be published soon.

    Artificial intelligence is already widely utilized in gastroenterology. This study aims to comprehensively evaluate the research hotspots and development trends within the field of AI in gastroenterology by employing bibliometric techniques to scrutinize geographical distribution, authorship, affiliated institutions, keyword usage, references, and other pertinent data contained within relevant publications. This investigation compiled all pertinent publications related to artificial intelligence in the context of gastrointestinal polyps and digestive endoscopy from 2003 to 2023 within the Web of Science Core Collection database. Furthermore, the study harnessed the tools CiteSpace, Vosviewer, Graphpad Prism and Scimago Graphica for visual data analysis.The study retrieved a total of 2,394 documents in the field of AI in digestive endoscopy and 628 documents specifically related to AI in digestive tract polyps. The United States and China are the primary contributors to research in both fields. Since 2019, studies on AI for digestive tract polyps have constituted approximately 25% of the total AI digestive endoscopy studies annually. Six of the top ten most-cited studies in AI digestive endoscopy also rank among the top ten most-cited studies in AI for gastrointestinal polyps. Additionally, the number of studies on AI-assisted polyp segmentation is growing the fastest, with significant increases in AI-assisted polyp diagnosis and real-time systems beginning after 2020. The application of AI in gastroenterology has garnered increasing attention. As theoretical advancements in AI for gastroenterology have progressed, real-time diagnosis and detection of gastrointestinal diseases have become feasible in recent years, highlighting the promising potential of AI in this field. Table 3. Top 10 productive authors related to AI digestive endoscopy and AI gastrointestinal polyps.

    Keywords: artificial intelligence, polyp, Endoscopy, bibliometric analysis, Research trend

    Received: 27 May 2024; Accepted: 02 Sep 2024.

    Copyright: © 2024 Peng, Wang, Li, Sun, Wang, Li, Li, Zhang, Wang and Pei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zhengcun Pei, Tianjin University, Tianjin, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.