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Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research

After cardiovascular diseases, cancer is responsible for the most deaths worldwide. Detecting a cancer disease early improves the chances for healing significantly. One group of technologies that is increasingly applied for detecting cancer is artificial intelligence. Artificial intelligence has gre...

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Detalles Bibliográficos
Autores principales: Karger, Erik, Kureljusic, Marko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954989/
https://www.ncbi.nlm.nih.gov/pubmed/36826086
http://dx.doi.org/10.3390/curroncol30020125
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author Karger, Erik
Kureljusic, Marko
author_facet Karger, Erik
Kureljusic, Marko
author_sort Karger, Erik
collection PubMed
description After cardiovascular diseases, cancer is responsible for the most deaths worldwide. Detecting a cancer disease early improves the chances for healing significantly. One group of technologies that is increasingly applied for detecting cancer is artificial intelligence. Artificial intelligence has great potential to support clinicians and medical practitioners as it allows for the early detection of carcinomas. During recent years, research on artificial intelligence for cancer detection grew a lot. Within this article, we conducted a bibliometric study of the existing research dealing with the application of artificial intelligence in cancer detection. We analyzed 6450 articles on that topic that were published between 1986 and 2022. By doing so, we were able to give an overview of this research field, including its key topics, relevant outlets, institutions, and articles. Based on our findings, we developed a future research agenda that can help to advance research on artificial intelligence for cancer detection. In summary, our study is intended to serve as a platform and foundation for researchers that are interested in the potential of artificial intelligence for detecting cancer.
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spelling pubmed-99549892023-02-25 Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research Karger, Erik Kureljusic, Marko Curr Oncol Review After cardiovascular diseases, cancer is responsible for the most deaths worldwide. Detecting a cancer disease early improves the chances for healing significantly. One group of technologies that is increasingly applied for detecting cancer is artificial intelligence. Artificial intelligence has great potential to support clinicians and medical practitioners as it allows for the early detection of carcinomas. During recent years, research on artificial intelligence for cancer detection grew a lot. Within this article, we conducted a bibliometric study of the existing research dealing with the application of artificial intelligence in cancer detection. We analyzed 6450 articles on that topic that were published between 1986 and 2022. By doing so, we were able to give an overview of this research field, including its key topics, relevant outlets, institutions, and articles. Based on our findings, we developed a future research agenda that can help to advance research on artificial intelligence for cancer detection. In summary, our study is intended to serve as a platform and foundation for researchers that are interested in the potential of artificial intelligence for detecting cancer. MDPI 2023-01-29 /pmc/articles/PMC9954989/ /pubmed/36826086 http://dx.doi.org/10.3390/curroncol30020125 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Karger, Erik
Kureljusic, Marko
Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research
title Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research
title_full Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research
title_fullStr Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research
title_full_unstemmed Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research
title_short Artificial Intelligence for Cancer Detection—A Bibliometric Analysis and Avenues for Future Research
title_sort artificial intelligence for cancer detection—a bibliometric analysis and avenues for future research
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954989/
https://www.ncbi.nlm.nih.gov/pubmed/36826086
http://dx.doi.org/10.3390/curroncol30020125
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