An overview of artificial intelligence in medical physics and radiation oncology.

Journal: Journal of the National Cancer Center
Published Date:

Abstract

Artificial intelligence (AI) is developing rapidly and has found widespread applications in medicine, especially radiotherapy. This paper provides a brief overview of AI applications in radiotherapy, and highlights the research directions of AI that can potentially make significant impacts and relevant ongoing research works in these directions. Challenging issues related to the clinical applications of AI, such as robustness and interpretability of AI models, are also discussed. The future research directions of AI in the field of medical physics and radiotherapy are highlighted.

Authors

  • Jiali Liu
    Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
  • Haonan Xiao
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
  • Jiawei Fan
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Weigang Hu
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Yong Yang
    Department of Radiation Oncology, Stanford University, CA, USA.
  • Peng Dong
    Department of Radiation Oncology, Stanford University, CA, USA.
  • Lei Xing
    Department of Radiation Oncology, Stanford University, CA, USA.
  • Jing Cai
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.

Keywords

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