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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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-11-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2021.755644/full |
| _version_ | 1818461007612215296 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Anh Quynh Tran |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T23:39:18Z |
| format | Article |
| id | doaj.art-c3e72e88476e4955acee23559cfa5ca1 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-14T23:39:18Z |
| publishDate | 2021-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-c3e72e88476e4955acee23559cfa5ca12022-12-21T22:43:33ZengFrontiers Media S.A.Frontiers in Public Health2296-25652021-11-01910.3389/fpubh.2021.755644755644Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective PhysiciansAnh Quynh Tran0Long Hoang Nguyen1Hao Si Anh Nguyen2Cuong Tat Nguyen3Cuong Tat Nguyen4Linh Gia Vu5Linh Gia Vu6Melvyn Zhang7Thuc Minh Thi Vu8Son Hoang Nguyen9Bach Xuan Tran10Bach Xuan Tran11Carl A. Latkin12Roger C. M. Ho13Roger C. M. Ho14Cyrus S. H. Ho15Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, VietnamDepartment of Global Public Health, Karolinska Institutet, Stockholm, SwedenInstitute of Health Economics and Technology, Hanoi, VietnamInstitute for Global Health Innovations, Duy Tan University, Da Nang, VietnamFaculty of Medicine, Duy Tan University, Da Nang, VietnamInstitute for Global Health Innovations, Duy Tan University, Da Nang, VietnamFaculty of Medicine, Duy Tan University, Da Nang, VietnamNational Addictions Management Service (NAMS), Institute of Mental Health, Singapore, SingaporeInstitute of Health Economics and Technology, Hanoi, VietnamCenter of Excellence in Evidence-Based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City, VietnamInstitute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, VietnamBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United StatesBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United StatesDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore0Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, SingaporeDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeBackground: 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.https://www.frontiersin.org/articles/10.3389/fpubh.2021.755644/fullartificial intelligencediagnosistheoretical modelintentionmedical students |
| spellingShingle | 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 Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians Frontiers in Public Health artificial intelligence diagnosis theoretical model intention medical students |
| title | Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians |
| title_full | Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians |
| title_fullStr | Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians |
| title_full_unstemmed | Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians |
| title_short | Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians |
| title_sort | determinants of intention to use artificial intelligence based diagnosis support system among prospective physicians |
| topic | artificial intelligence diagnosis theoretical model intention medical students |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2021.755644/full |
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