AUTHOR=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. 

TITLE=Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians

JOURNAL=Frontiers in Public Health

VOLUME=9

YEAR=2021

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.755644

DOI=10.3389/fpubh.2021.755644

ISSN=2296-2565

ABSTRACT=<p><bold>Background:</bold> This study aimed to develop a theoretical model to explore the behavioral intentions of medical students to adopt an AI-based Diagnosis Support System.</p><p><bold>Methods:</bold> 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.</p><p><bold>Results:</bold> Effort expectancy (β = 0.201, <italic>p</italic> &lt; 0.05) and social influence (β = 0.574, <italic>p</italic> &lt; 0.05) were positively associated with initial trust, while no association was found between performance expectancy and initial trust (<italic>p</italic> &gt; 0.05). Only social influence (β = 0.527, <italic>p</italic> &lt; 0.05) was positively related to the behavioral intention.</p><p><bold>Conclusions:</bold> 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.</p>