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

Zhai, Huiwen1,2; Yang, Xin3; Xue, Jiaolong4,5; Lavender, Christopher1; Ye, Tiantian6; Li, Ji-Bin7; Xu, Lanyang2; Lin, Li3; Cao, Weiwei8; Sun, Ying3

2021-09-30

10.2196/27122

JOURNAL OF MEDICAL INTERNET RESEARCH   影响因子和分区

1438-8871

["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.","Objective: The objective of this study was to develop and test a model for investigating the factors that drive radiation oncologists' acceptance of AI contouring technology in a Chinese context.","Methods: A model of AI-assisted contouring technology acceptance was developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model by adding the variables of perceived risk and resistance that were proposed in this study. The model included 8 constructs with 29 questionnaire items. A total of 307 respondents completed the questionnaires. Structural equation modeling was conducted to evaluate the model's path effects, significance, and fitness.","Results: The overall fitness indices for the model were evaluated and showed that the model was a good fit to the data. Behavioral intention was significantly affected by performance expectancy (beta=.155; P=.01), social influence (beta=.365; P<.001), and facilitating conditions (beta=.459; P<.001). Effort expectancy (beta=.055; P=.45), perceived risk (beta=-.048; P=.35), and resistance bias (beta=-.020; P=.63) did not significantly affect behavioral intention.","Conclusions: The physicians' overall perceptions of an AI-assisted technology for radiation contouring were high. Technology resistance among Chinese radiation oncologists was low and not related to behavioral intention. Not all of the factors in the Venkatesh UTAUT model applied to AI technology adoption among physicians in a Chinese context."]

artificial intelligence technology acceptance model intension resistance

SCI

英语

其他

National Key Research and Development Program of China["2020YFC1316900","2020YFC1316904"] ; Young Creative Talent Program of Sun Yat-sen University Cancer Center[PT21100201] ; PhD Start-up Fund of the Natural Science Foundation of the Guangdong Province of China[2018A030310005] ; China Postdoctoral Science Foundation[2019M663348] ; National Natural Science Foundation of China[72102238,71572207,71832015,72072191]

Health Care Sciences & Services ; Medical Informatics

Health Care Sciences & Services ; Medical Informatics

WOS:000702302900004

JMIR PUBLICATIONS, INC

CLINICAL MEDICINE

Web of Science

1.Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Off Res Management & Educ Adm,Canc Ctr, Guangzhou, Peoples R China
2.Sun Yat Sen Univ, Sch Sociol & Anthropol, Dept Anthropol, Guangzhou, Peoples R China
3.Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, Dept Radiat Oncol, State Key Lab Oncol South China,Canc Ctr, 651 Dongfeng Rd, Guangzhou 510060, Peoples R China
4.Sun Yat Sen Univ, Sch Management, Guangzhou, Peoples R China
5.Guangdong Ocean Univ, Sch Management, Zhanjiang, Peoples R China
6.Southern Univ Sci & Technol, Sch Med, Shenzhen, Peoples R China
7.Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, Dept Clin Res, State Key Lab Oncol South China,Canc Ctr, Guangzhou, Peoples R China
8.Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Management Off Huangpu Campus,Canc Ctr, Guangzhou, Peoples R China

Zhai, Huiwen,Yang, Xin,Xue, Jiaolong,et al. Radiation Oncologists' Perceptions of Adopting an Artificial Intelligence-Assisted Contouring Technology: Model Development and Questionnaire Study[J]. JOURNAL OF MEDICAL INTERNET RESEARCH,2021,23(9).

Zhai, Huiwen.,Yang, Xin.,Xue, Jiaolong.,Lavender, Christopher.,Ye, Tiantian.,...&Sun, Ying.(2021).Radiation Oncologists' Perceptions of Adopting an Artificial Intelligence-Assisted Contouring Technology: Model Development and Questionnaire Study.JOURNAL OF MEDICAL INTERNET RESEARCH,23(9).

Zhai, Huiwen,et al."Radiation Oncologists' Perceptions of Adopting an Artificial Intelligence-Assisted Contouring Technology: Model Development and Questionnaire Study".JOURNAL OF MEDICAL INTERNET RESEARCH 23.9(2021).