Artificial Intelligence Integration in Medical Education: A Landscape with HOT Dimensions in Viet Nam

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dc.creatorLe, Sang Minh
dc.creatorKim, Giang Bảo
dc.date2026-06-11T17:55:06Z
dc.date2026-06-11T17:55:06Z
dc.date2026-05-31
dc.date.accessioned2026-07-01T00:30:33Z
dc.descriptionThe study adopted a mixed-methods approach to: (i) describe the landscape of Artificial Intelligence (AI) adoption in medical schools in Viet Nam; (ii) analyze critical factors affecting the integration of AI in medical education; (iii) present key strategic actions areas to promote the integration of AI in medical education in Viet Nam. Overall, AI adoption among students and teachers is relatively high, with a large proportion reporting the use of AI-powered tools, particularly generative AI applications such as learning assistants. However, the integration of AI remains largely informal, fragmented, and concentrated in individual-level use cases rather than being systematically embedded into institutional teaching, clinical training, and educational management systems. The analysis of human factors reveals generally supportive attitudes for AI adoption. Students and teachers demonstrate positive attitudes and recognize the benefits of AI in improving learning efficiency, digital literacy, and research capacity. At the same time, important concerns persist regarding over-reliance on AI, reduced critical thinking, academic integrity, and the potential erosion of humanistic aspects of medical practice. From an organizational perspective, key barriers include the lack of structured AI training programs, limited integration of AI competencies into curricula, insufficient financial resources, and the absence of clear regulatory and ethical frameworks. Technological factors present a mixed picture with digital infrastructure providing a strong foundation but digital data underdevelopment and concerns about AI accuracy remain challenges. Advancing AI integration in medical education in Viet Nam requires a comprehensive and coordinated approach across human, organizational, and technological dimensions.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttps://openknowledge.worldbank.org/entities/publication/39d09c99-227e-4d50-851f-0b3c8a598036
dc.identifierLê, Sang Minh; Kim, Giang Bảo. 2026. Artificial Intelligence Integration in Medical Education: A Landscape with HOT Dimensions in Viet Nam. © World Bank. http://hdl.handle.net/10986/45024 License: CC BY-NC 3.0 IGO.
dc.identifierhttps://hdl.handle.net/10986/45024
dc.identifier10.1596/45024
dc.identifier.urihttp://hdl.handle.net/123456789/404853
dc.languageEnglish
dc.languageen_US
dc.publisherWashington, DC: World Bank
dc.rightsCC BY-NC 3.0 IGO
dc.rightshttps://creativecommons.org/licenses/by-nc/3.0/igo
dc.rightsWorld Bank
dc.subjectARTIFICIAL INTELLIGENCE
dc.subjectDIGITAL LITERACY
dc.subjectMEDICAL EDUCATION
dc.subjectCURRICULUM INTEGRATION
dc.subjectREGULATORY FRAMEWORKS
dc.titleArtificial Intelligence Integration in Medical Education: A Landscape with HOT Dimensions in Viet Nam
dc.typeWorking Paper (Numbered Series)

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