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Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022
BACKGROUND: Artificial intelligence (AI) is widely applied in cancer field nowadays. The aim of this study is to explore the hotspots and trends of AI in cancer research. METHODS: The retrieval term includes four topic words (“tumor,” “cancer,” “carcinoma,” and “artificial intelligence”), which were...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382324/ https://www.ncbi.nlm.nih.gov/pubmed/37519796 http://dx.doi.org/10.3389/fonc.2023.1215729 |
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author | Wang, Sui-Han Chen, Guoqiao Zhong, Xin Lin, Tianyu Shen, Yan Fan, Xiaoxiao Cao, Liping |
author_facet | Wang, Sui-Han Chen, Guoqiao Zhong, Xin Lin, Tianyu Shen, Yan Fan, Xiaoxiao Cao, Liping |
author_sort | Wang, Sui-Han |
collection | PubMed |
description | BACKGROUND: Artificial intelligence (AI) is widely applied in cancer field nowadays. The aim of this study is to explore the hotspots and trends of AI in cancer research. METHODS: The retrieval term includes four topic words (“tumor,” “cancer,” “carcinoma,” and “artificial intelligence”), which were searched in the database of Web of Science from January 1983 to December 2022. Then, we documented and processed all data, including the country, continent, Journal Impact Factor, and so on using the bibliometric software. RESULTS: A total of 6,920 papers were collected and analyzed. We presented the annual publications and citations, most productive countries/regions, most influential scholars, the collaborations of journals and institutions, and research focus and hotspots in AI-based cancer research. CONCLUSION: This study systematically summarizes the current research overview of AI in cancer research so as to lay the foundation for future research. |
format | Online Article Text |
id | pubmed-10382324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103823242023-07-30 Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 Wang, Sui-Han Chen, Guoqiao Zhong, Xin Lin, Tianyu Shen, Yan Fan, Xiaoxiao Cao, Liping Front Oncol Oncology BACKGROUND: Artificial intelligence (AI) is widely applied in cancer field nowadays. The aim of this study is to explore the hotspots and trends of AI in cancer research. METHODS: The retrieval term includes four topic words (“tumor,” “cancer,” “carcinoma,” and “artificial intelligence”), which were searched in the database of Web of Science from January 1983 to December 2022. Then, we documented and processed all data, including the country, continent, Journal Impact Factor, and so on using the bibliometric software. RESULTS: A total of 6,920 papers were collected and analyzed. We presented the annual publications and citations, most productive countries/regions, most influential scholars, the collaborations of journals and institutions, and research focus and hotspots in AI-based cancer research. CONCLUSION: This study systematically summarizes the current research overview of AI in cancer research so as to lay the foundation for future research. Frontiers Media S.A. 2023-07-14 /pmc/articles/PMC10382324/ /pubmed/37519796 http://dx.doi.org/10.3389/fonc.2023.1215729 Text en Copyright © 2023 Wang, Chen, Zhong, Lin, Shen, Fan and Cao https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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. |
spellingShingle | Oncology Wang, Sui-Han Chen, Guoqiao Zhong, Xin Lin, Tianyu Shen, Yan Fan, Xiaoxiao Cao, Liping Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 |
title | Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 |
title_full | Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 |
title_fullStr | Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 |
title_full_unstemmed | Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 |
title_short | Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 |
title_sort | global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022 |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382324/ https://www.ncbi.nlm.nih.gov/pubmed/37519796 http://dx.doi.org/10.3389/fonc.2023.1215729 |
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