Frontiers in Public Health (Nov 2021)

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

  • Anh Quynh Tran,
  • Long Hoang Nguyen,
  • Hao Si Anh Nguyen,
  • Cuong Tat Nguyen,
  • Cuong Tat Nguyen,
  • Linh Gia Vu,
  • Linh Gia Vu,
  • Melvyn Zhang,
  • Thuc Minh Thi Vu,
  • Son Hoang Nguyen,
  • Bach Xuan Tran,
  • Bach Xuan Tran,
  • Carl A. Latkin,
  • Roger C. M. Ho,
  • Roger C. M. Ho,
  • Cyrus S. H. Ho

DOI
https://doi.org/10.3389/fpubh.2021.755644
Journal volume & issue
Vol. 9

Abstract

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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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