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

Author:

Karger Erik1,Kureljusic Marko2ORCID

Affiliation:

1. Information Systems and Strategic IT Management, University of Duisburg-Essen, 45141 Essen, Germany

2. International Accounting, University of Duisburg-Essen, 45141 Essen, Germany

Abstract

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.

Publisher

MDPI AG

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning for breast cancer diagnosis: A bibliometric analysis and future research directions;Computational and Structural Biotechnology Reports;2024-12

2. Hotspots and trends of artificial intelligence in the field of cataracts: a bibliometric analysis;International Ophthalmology;2024-06-23

3. The Role of Artificial Intelligence in the Diagnosis of Neoplastic Diseases: A Systematic and Bibliometric Review;International Journal of Online and Biomedical Engineering (iJOE);2024-03-04

4. Machine learning and deep learning approach to Parkinson’s disease detection: present state-of-the-art and a bibliometric review;Multimedia Tools and Applications;2024-02-10

5. An Overview of Artificial Intelligence for Cancer Prognosis and Treatment;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3