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SYSTEMATIC REVIEW article

Front. Oncol.
Sec. Gastrointestinal Cancers: Colorectal Cancer
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1424044
This article is part of the Research Topic AI in GI Cancer: Antigen Discovery, Target Screening, and Therapy Response Prediction View all articles

Application of Artificial Intelligence in the diagnosis and treatment of colorectal cancer: A Bibliometric Analysis, 2004-2023

Provisionally accepted
Lamei Sun Lamei Sun 1,2Rong Zhang Rong Zhang 3Yidan Gu Yidan Gu 1Lei Huang Lei Huang 1Chunhui Jin Chunhui Jin 1*
  • 1 Wuxi Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
  • 2 Jiangyin Nanzha Community Health Service Center, Wuxi, China
  • 3 Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China

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

    Background An increasing number of studies have turned their lens to the application of Artificial Intelligence (AI) in the diagnosis and treatment of colorectal cancer (CRC). Objective To clarify and visualize the basic situation, research hotspots, and development trends of AI in the diagnosis and treatment of CRC, and provide clues for research in the future. Methods On January 31, 2024, the Web of Science Core Collection (WoSCC) database was searched to screen and export the relevant research published during 2004-2023, and Cite Space, VoSviewer, Bibliometrix were used to visualize the number of publications, countries (regions), institutions, journals, authors, citations, keywords, etc. Results A total of 2715 pieces of literature were included. The number of publications grew slowly until the end of 2016, but rapidly after 2017, till to the peak of 798 in 2023. A total of 92 countries, 3997 organizations, and 15,667 authors were involved in this research. Chinese scholars released the highest number of publications, and the U.S. contributed the highest number of total citations. As to authors, MORI, YUICHI had the highest number of publications, and WANG, PU had the highest number of total citations. According to the analysis of citations and keywords, the current research hotspots are mainly related to "Colonoscopy", "Polyp Segmentation", "Digital Pathology", "Radiomics", "prognosis". Conclusion Research on the application of AI in the diagnosis and treatment of CRC has made significant progress and is flourishing across the world. Current research hotspots include AI-assisted early screening and diagnosis, pathology, and staging,

    Keywords: colorectal cancer, artificial intelligence, Citespace, VOSviewer, Bibliometrix, Bibliometrics

    Received: 13 May 2024; Accepted: 23 Sep 2024.

    Copyright: © 2024 Sun, Zhang, Gu, Huang and Jin. 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: Chunhui Jin, Wuxi Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China

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