Mapping the research on the application of artificial intelligence in cancer: a scientometric analysis

Document Type : Original Article

Authors

1 GMU

2 Assistant Prof., Department of Health Information Technology, Sirjan School of Medical Sciences, Sirjan, Iran

3 Member of the academic staff of the Department of Knowledge and information science, Payame Noor University, Tehran, Iran.

10.30476/jhmi.2024.101181.1198

Abstract

Background and aim: Today, despite the progress of science in healthcare, cancer is still one of the main causes of death worldwide. Artificial intelligence (AI) has emerged as a technology to tackle some of the biggest challenges in cancer research and treatment, and researchers have completed numerous studies in this area. Therefore, the current study analyzed scientific research in the field of artificial intellige nce and cancer using scientometric tools.
Material and method: This descriptive study utilized scientometrics techniques and focused on analyzing scientific publications related to using AI in cancer that were indexed in the Web of Science Core Collection (WoSCC) database. until April 23, 2023. To analyze the data, the Babblemetrix package was used in the R software.
Results: A total of 8098 related documents were retrieved, and
the USA, China, and Germany had the most publications. The words "Classification," "Cancer," and "Diagnosis" were the most important keywords of the authors in the scientific publications. Pathology and Diagnosis were the primary topics in the field of AI and cancer. Moreover, Cancer, Survival, and Computer-aided detection have received more attention from researchers in recent years.
Conclusion: The findings of the study suggest that AI has enormous potential to revolutionize cancer research and treatment, and pave the way for more effective and personalized therapies. The results of this study can be useful for research policy-makers and researchers to determine the priorities and research decisions in this field.

Keywords

Main Subjects

Health Management & Information Science

Articles in Press, Accepted Manuscript
Available Online from 27 April 2024

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