Development trends and knowledge framework of artificial intelligence (AI) applications in oncology by years: a bibliometric analysis from 1992 to 2022

The investigation of Artificial Intelligence (AI) applications in the field of Oncology is still in its early phases especially for genomics, proteomics, and clinicomics, with extensive studies focused on biology, diagnosis, treatment, and cancer risk assessment. This bibliometric analysis offered valuable perspectives into AI's role in Oncology research, shedding light on emerging research paths. Notably, a significant portion of these publications originated from developed nations. These findings could prove beneficial for both researchers and policymakers seeking to navigate this field.

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Publication Details

Journal
Discover Oncology
Published
2024-10-16
DOI
https://doi.org/10.1007/s12672-024-01415-0
Citations
6
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.43

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article

Development trends and knowledge framework of artificial intelligence (AI) applications in oncology by years: a bibliometric analysis from 1992 to 2022

Zafer Akçalı, Murat Koçak
6 citations
Discover Oncology
Radiomics and Machine Learning in Medical Imaging
2.43
article

Development trends and knowledge framework of artificial intelligence (AI) applications in oncology by years: a bibliometric analysis from 1992 to 2022

Zafer Akçalı, Murat Koçak
article en
6 citations

Abstract

The investigation of Artificial Intelligence (AI) applications in the field of Oncology is still in its early phases especially for genomics, proteomics, and clinicomics, with extensive studies focused on biology, diagnosis, treatment, and cancer risk assessment. This bibliometric analysis offered valuable perspectives into AI's role in Oncology research, shedding light on emerging research paths. Notably, a significant portion of these publications originated from developed nations. These findings could prove beneficial for both researchers and policymakers seeking to navigate this field.

Discover OncologyVol. 15(1)
Başkent University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Partnerships for the goals
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.43
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