Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians
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...
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| Auteurs principaux: | , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Frontiers Media S.A.
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c3e72e88476e4955acee23559cfa5ca1 |
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| Résumé: | 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 (β = 0.201, p < 0.05) and social influence (β = 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 (β = 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. |
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