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人工智能在结直肠癌诊断与治疗中的应用：一项2004 - 2023年的文献计量分析

Application of Artificial Intelligence in the diagnosis and treatment of colorectal cancer: a bibliometric analysis, 2004-2023.

作者信息

Sun Lamei, Zhang Rong, Gu Yidan, Huang Lei, Jin Chunhui

机构信息

Department of Oncology, Wuxi Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China.

Department of Traditional Chinese Medicine, Jiangyin Nanzha Community Health Service Center, Wuxi, China.

出版信息

Front Oncol. 2024 Oct 11;14:1424044. doi: 10.3389/fonc.2024.1424044. eCollection 2024.

DOI:10.3389/fonc.2024.1424044
PMID:39464716
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11502294/
Abstract

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, and prognosis assessment, and future research is predicted to put weight on multimodal data fusion, personalized treatment, and drug development.

摘要

背景：越来越多的研究开始关注人工智能（AI）在结直肠癌（CRC）诊断和治疗中的应用。 目的：阐明并可视化人工智能在结直肠癌诊断和治疗中的基本情况、研究热点及发展趋势，为未来研究提供线索。 方法：于2024年1月31日检索Web of Science核心合集（WoSCC）数据库，筛选并导出2004 - 2023年期间发表的相关研究，使用Cite Space、VoSviewer、Bibliometrix对出版物数量、国家（地区）、机构、期刊、作者、被引频次、关键词等进行可视化分析。 结果：共纳入2715篇文献。2016年底前出版物数量增长缓慢，但2017年后迅速增长，2023年达到798篇的峰值。共有92个国家、3997个组织和15667位作者参与了该研究。中国学者发表的出版物数量最多，美国的总被引频次最高。作者方面，森雄一发表的出版物数量最多，王璞的总被引频次最高。通过对被引频次和关键词的分析，当前研究热点主要与“结肠镜检查”“息肉分割”“数字病理学”“影像组学”“预后”相关。 结论：人工智能在结直肠癌诊断和治疗中的应用研究取得了显著进展，在全球范围内蓬勃发展。当前研究热点包括人工智能辅助早期筛查与诊断、病理学、分期及预后评估，预计未来研究将侧重于多模态数据融合、个性化治疗和药物研发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a055/11502294/3dd04cd57e7a/fonc-14-1424044-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a055/11502294/3dd04cd57e7a/fonc-14-1424044-g010.jpg

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引用本文的文献

[1]
Cutting-edge AI tools revolutionizing scientific research in life sciences.

BioTechnologia (Pozn). 2025-3-31

[2]
Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends.

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[3]
Radiomics for prediction of perineural invasion in colorectal cancer: a systematic review and meta-analysis.

Abdom Radiol (NY). 2025-1-22

本文引用的文献

[1]
Cancer incidence and mortality in China, 2022.

J Natl Cancer Cent. 2024-2-2

[2]
Visual analysis of colorectal cancer and gut microbiota: A bibliometric analysis from 2002 to 2022.

Medicine (Baltimore). 2023-11-3

[3]
Localization of Colorectal Cancer Lesions in Contrast-Computed Tomography Images via a Deep Learning Approach.

Bioengineering (Basel). 2023-8-17

[4]
CSCO guidelines for colorectal cancer version 2023: Updates and insights.

Chin J Cancer Res. 2023-6-30

[5]
Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment.

Am Soc Clin Oncol Educ Book. 2023-5

[6]
Artificial intelligence in intestinal polyp and colorectal cancer prediction.

Cancer Lett. 2023-7-1

[7]
Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening.

Diagnostics (Basel). 2023-3-14

[8]
A bibliometric and visual analysis of publications on artificial intelligence in colorectal cancer (2002-2022).

Front Oncol. 2023-2-7

[9]
Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: a real-time comparison with screening endoscopists.

Endoscopy. 2023-8

[10]
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine.

Semin Cancer Biol. 2023-1

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