Please use this identifier to cite or link to this item: https://doi.org/10.3389/fpubh.2021.755644
Title: Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians
Authors: Tran, Anh Quynh
Nguyen, Long Hoang
Nguyen, Hao Si Anh
Nguyen, Cuong Tat
Vu, Linh Gia
Zhang, Melvyn
Vu, Thuc Minh Thi
Nguyen, Son Hoang
Tran, Bach Xuan
Latkin, Carl A.
Ho, Roger C. M. 
Ho, Cyrus S. H. 
Keywords: artificial intelligence
diagnosis
intention
medical students
theoretical model
Issue Date: 26-Nov-2021
Publisher: Frontiers Media S.A.
Citation: Tran, Anh Quynh, Nguyen, Long Hoang, Nguyen, Hao Si Anh, Nguyen, Cuong Tat, Vu, Linh Gia, Zhang, Melvyn, Vu, Thuc Minh Thi, Nguyen, Son Hoang, Tran, Bach Xuan, Latkin, Carl A., Ho, Roger C. M., Ho, Cyrus S. H. (2021-11-26). Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians. Frontiers in Public Health 9 : 755644. ScholarBank@NUS Repository. https://doi.org/10.3389/fpubh.2021.755644
Rights: Attribution 4.0 International
Abstract: Background: This study aimed to develop a theoretical model to explore the behavioral intentions of medical students to adopt an AI-based Diagnosis Support System. Methods: This online cross-sectional survey used the unified theory of user acceptance of technology (UTAUT) to examine the intentions to use an AI-based Diagnosis Support System in 211 undergraduate medical students in Vietnam. Partial least squares (PLS) structural equational modeling was employed to assess the relationship between latent constructs. Results: Effort expectancy (? = 0.201, p < 0.05) and social influence (? = 0.574, p < 0.05) were positively associated with initial trust, while no association was found between performance expectancy and initial trust (p > 0.05). Only social influence (? = 0.527, p < 0.05) was positively related to the behavioral intention. Conclusions: This study highlights positive behavioral intentions in using an AI-based diagnosis support system among prospective Vietnamese physicians, as well as the effect of social influence on this choice. The development of AI-based competent curricula should be considered when reforming medical education in Vietnam. Copyright © 2021 Tran, Nguyen, Nguyen, Nguyen, Vu, Zhang, Vu, Nguyen, Tran, Latkin, Ho and Ho.
Source Title: Frontiers in Public Health
URI: https://scholarbank.nus.edu.sg/handle/10635/233612
ISSN: 2296-2565
DOI: 10.3389/fpubh.2021.755644
Rights: Attribution 4.0 International
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