Radiation Oncologists' Perceptions of Adopting an Artificial Intelligence-Assisted Contouring Technology: Model Development and Questionnaire Study.

Journal: Journal of medical Internet research
Published Date: Sep 30, 2021

Abstract

BACKGROUND: An artificial intelligence (AI)-assisted contouring system benefits radiation oncologists by saving time and improving treatment accuracy. Yet, there is much hope and fear surrounding such technologies, and this fear can manifest as resistance from health care professionals, which can lead to the failure of AI projects.

Authors

  • Huiwen Zhai
    Office of Research Management and Education Administration, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Xin Yang
    Department of Oral Maxillofacial-Head Neck Oncology, Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
  • Jiaolong Xue
    Business School, Sun Yat-sen University, Guangzhou, China.
  • Christopher Lavender
    Office of Research Management and Education Administration, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Tiantian Ye
    Department of Anthropology, School of Sociology and Anthropology, Sun Yat-sen University, Guangzhou, China.
  • Ji-Bin Li
    Department of Clinical Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
  • Lanyang Xu
    Department of Anthropology, School of Sociology and Anthropology, Sun Yat-sen University, Guangzhou, China.
  • Li Lin
    Department of Cardiology, Lishui Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
  • Weiwei Cao
    School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Division of Life Sciences and Medicine, Hefei, 230026, Anhui, China.
  • Ying Sun
    CFAR and I2R, Agency for Science, Technology and Research, Singapore.

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