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

Endocrinology Pediatrics
Journal: Discover oncology
Published Date: May 14, 2025

Abstract

OBJECTIVE: To assess the publications' bibliographic features and look into how the advancement of artificial intelligence (AI) and its subfields in radiomics has affected the growth of oncology.

Authors

  • Pengyu Zhang
    School of Software, Shandong University, Jinan, Shandong 250101, China.
  • Lili Wei
    Shandong Institute for Food and Drug Control, Ji'nan 250101, China.
  • Zonglong Nie
    Department of Urology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, 266042, People's Republic of China.
  • Pengcheng Hu
    Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180, Fenglin Road, Shanghai, 200032, People's Republic of China.
  • Jilu Zheng
    Department of Urology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266000, China.
  • Ji Lv
    School of Computer Science and Technology, Zhejiang Normal University, Jinhua, 321004, China.
  • Tao Cui
    Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • Chunlei Liu
    Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
  • Xiaopeng Lan
    Department of Urology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, 266042, People's Republic of China. [email protected].

Keywords

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