Research on the developments of artificial intelligence in radiomics for oncology over the past decade: a bibliometric and visualized analysis

Investigations into the integration of AI with radiomics in oncology remain nascent, with numerous studies concentrating on biology, diagnosis, treatment, and cancer risk evaluation.

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Publication Details

Journal
Discover Oncology
Published
2025-05-14
DOI
https://doi.org/10.1007/s12672-025-02590-4
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Research on the developments of artificial intelligence in radiomics for oncology over the past decade: a bibliometric and visualized analysis

Xiaopeng Lan, Pengcheng Hu, Lili S. Wei, Ji Lv et al.
2 citations
Discover Oncology
Radiomics and Machine Learning in Medical Imaging
2.72
article

Research on the developments of artificial intelligence in radiomics for oncology over the past decade: a bibliometric and visualized analysis

Xiaopeng Lan, Pengcheng Hu, Lili S. Wei, Ji Lv, Cui Tao, Zonglong Nie, Pengyu Zhang, Jilu Zheng, Chunlei Liu
article en
2 citations

Abstract

Investigations into the integration of AI with radiomics in oncology remain nascent, with numerous studies concentrating on biology, diagnosis, treatment, and cancer risk evaluation.

Discover OncologyVol. 16(1)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN)
Quality Education
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
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