Please use this identifier to cite or link to this item: https://doi.org/10.3389/fpubh.2021.755644
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dc.titleDeterminants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians
dc.contributor.authorTran, Anh Quynh
dc.contributor.authorNguyen, Long Hoang
dc.contributor.authorNguyen, Hao Si Anh
dc.contributor.authorNguyen, Cuong Tat
dc.contributor.authorVu, Linh Gia
dc.contributor.authorZhang, Melvyn
dc.contributor.authorVu, Thuc Minh Thi
dc.contributor.authorNguyen, Son Hoang
dc.contributor.authorTran, Bach Xuan
dc.contributor.authorLatkin, Carl A.
dc.contributor.authorHo, Roger C. M.
dc.contributor.authorHo, Cyrus S. H.
dc.date.accessioned2022-10-26T09:05:57Z
dc.date.available2022-10-26T09:05:57Z
dc.date.issued2021-11-26
dc.identifier.citationTran, 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
dc.identifier.issn2296-2565
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233612
dc.description.abstractBackground: 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.
dc.publisherFrontiers Media S.A.
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.subjectartificial intelligence
dc.subjectdiagnosis
dc.subjectintention
dc.subjectmedical students
dc.subjecttheoretical model
dc.typeArticle
dc.contributor.departmentDEPT OF PSYCHOLOGICAL MEDICINE
dc.description.doi10.3389/fpubh.2021.755644
dc.description.sourcetitleFrontiers in Public Health
dc.description.volume9
dc.description.page755644
dc.published.statePublished
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