This paper is in the following e-collection/theme issue:

Artificial Intelligence (1421) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Machine Learning (1501) Adoption and Change Management of eHealth Systems (731) Formative Evaluation of Digital Health Interventions (2491) Imaging Informatics (200) User Needs and Competencies (311)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27122, first published .
Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Authors of this article:

Huiwen Zhai1, 2 Author Orcid Image ;   Xin Yang3 Author Orcid Image ;   Jiaolong Xue4, 5 Author Orcid Image ;   Christopher Lavender1 Author Orcid Image ;   Tiantian Ye6 Author Orcid Image ;   Ji-Bin Li7 Author Orcid Image ;   Lanyang Xu2 Author Orcid Image ;   Li Lin3 Author Orcid Image ;   Weiwei Cao8 Author Orcid Image ;   Ying Sun3 Author Orcid Image
Article Authors Cited by (25) Tweetations (4) Metrics

Huiwen Zhai   1, 2 * , MBA ;   Xin Yang   3 * , PhD ;   Jiaolong Xue   4, 5 , PhD ;   Christopher Lavender   1 , MA ;   Tiantian Ye   6 , MD ;   Ji-Bin Li   7 , PhD ;   Lanyang Xu   2 , BPhil ;   Li Lin   3 , MD, PhD ;   Weiwei Cao   8 , MBA ;   Ying Sun   3 , MD, PhD

1 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

2 Department of Anthropology, School of Sociology and Anthropology, Sun Yat-sen University, Guangzhou, China

3 Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China

4 School of Management, Sun Yat-sen University, Guangzhou, China

5 School of Management, Guangdong Ocean University, Zhanjiang, China

6 School of Medicine, Southern University of Science and Technology, Shenzhen, China

7 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

8 Management Office of Huangpu Campus, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Ying Sun, MD, PhD
  • Department of Radiation Oncology
  • Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China
  • Collaborative Innovation Center for Cancer Medicine
  • 651 Dongfeng Road
  • Guangzhou, 510060
  • China
  • Phone: 86 02087343066
  • Email: sunying@sysucc.org.cn