An automated machine-learning model for prognostic risk stratification of intermediate-stage hepatocellular carcinoma after transarterial chemoembolization.

Journal: International journal of surgery (London, England)
Published Date: Jul 2, 2025

Abstract

BACKGROUND: Currently, there is still a lack of noninvasive, automated, and accurate machine-learning(ML) model for prognostic risk stratification of intermediate-stage hepatocellular carcinoma(HCC) after transarterial chemoembolization(TACE) .

Authors

  • Chao An
    Department of Minimal invasive intervention, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
  • Mengxuan Zuo
    Department of Minimal Invasive Intervention, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651, Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
  • Wang Li
    School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
  • Peihong Wu
    Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.

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