Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis.

Journal: Artificial intelligence in medicine
Published Date: Aug 1, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) technology has clustered patients based on clinical features into sub-clusters to stratify high-risk and low-risk groups to predict outcomes in lung cancer after radiotherapy and has gained much more attention in recent years. Given that the conclusions vary considerably, this meta-analysis was conducted to investigate the combined predictive effect of AI models on lung cancer.

Authors

  • Wenmin Xing
    Zhejiang Provincial Key Lab of Geriatrics, Department of Geriatrics, Zhejiang Hospital, Hangzhou, China.
  • Wenyan Gao
    Key Laboratory of Neuropsychiatric Drug Research of Zhejiang Province, Institute of Materia Medica, Zhejiang Academy of Medical Sciences&Hangzhou Medical College, Hangzhou, Zhejiang Province, China.
  • Xiaoling Lv
    Zhejiang Provincial Key Lab of Geriatrics, Department of Geriatrics, Zhejiang Hospital, Hangzhou, China.
  • Zhenlei Zhao
    Zhejiang Provincial Key Lab of Geriatrics, Department of Geriatrics, Zhejiang Hospital, Hangzhou, China.
  • Xiaogang Xu
    Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai 200040, China.
  • Zhibing Wu
    Zhejiang Provincial Key Lab of Geriatrics, Department of Geriatrics, Zhejiang Hospital, Hangzhou, China.
  • Genxiang Mao
    Zhejiang Provincial Key Lab of Geriatrics, Department of Geriatrics, Zhejiang Hospital, Hangzhou, China. Electronic address: maogenxiang@163.com.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Keywords

External Resources

Popular Topics
Recent Journals