Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study
Tiantian Ye, Jiaolong Xue, Mingguang He, Jing Gu, Haotian Lin, Bin Xu, Yu Cheng
Journal of Medical Internet Research | JMIR PUBLICATIONS, INC | Published : 2019
BACKGROUND: Poor quality primary health care is a major issue in China, particularly in blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve primary care services and reduce unnecessary referrals, but the application of AI in medical settings is still an emerging field. OBJECTIVE: This study aimed to investigate the general public's acceptance of ophthalmic AI devices, with reference to those already used in China, and the interrelated influencing factors that shape people's intention to use these devices. METHODS: We proposed a model of ophthalmic AI acceptance based on technology acceptance theories and variables from ..View full abstract
Awarded by China Medical Board Open Competition program
Awarded by PhD Start-up Fund of Natural Science Foundation of Guangdong Province of China
This study was funded by the China Medical Board Open Competition program (grant number 18-299) and the PhD Start-up Fund of Natural Science Foundation of Guangdong Province of China (NO 2018A030310005). The authors would like to thank Prof Yucheng Liang, Prof Joseph D Tucker, and Willa Dong for their advice about the study. The authors especially thank Prof Yizhi Liu for sharing his knowledge on AI devices and their applications in clinical settings.