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  • Education
  • Specialist Studies In Education
  • Multicultural Education (excl. Aboriginal And Torres Strait Islander, Māori And Pacific Peoples)
  • Attitudes And Perceptions Of Thai Medical Students Regarding Artificial Intelligence In Radiology And Medicine.
  • Education
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  • Multicultural Education (excl. Aboriginal And Torres Strait Islander, Māori And Pacific Peoples)
  • Attitudes And Perceptions Of Thai Medical Students Regarding Artificial Intelligence In Radiology And Medicine.

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    Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine.

    Salita Angkurawaranon1,2, Nakarin Inmutto1, Kittipitch Bannangkoon3

    • 1Department of Radiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.

    BMC Medical Education
    |October 22, 2024

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    Thai medical students show a significant gap in understanding Artificial Intelligence (AI) but strongly support its integration into radiology education. This enthusiasm is key for future AI adoption in healthcare.

    Keywords:
    Artificial intelligenceAttitudes and perceptionsMedical studentsRadiology and medicineThailand

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    Area of Science:

    • Medical Education
    • Artificial Intelligence
    • Radiology

    Background:

    • Artificial Intelligence (AI) is transforming medicine, especially radiology, necessitating its integration into medical curricula.
    • Many medical schools lag in incorporating AI education, creating a skills gap for future healthcare professionals.
    • This study assesses Thai medical students' attitudes towards AI in radiology to inform curriculum development.

    Purpose of the Study:

    • To evaluate the current understanding of Artificial Intelligence (AI) among medical students in Thailand.
    • To gauge student opinions on the inclusion of AI in medical education, particularly for radiology.
    • To understand student perceptions of AI's impact on the future of medicine and radiology.

    Main Methods:

    • A survey was conducted in February-June 2022 at two Thai medical schools.
    • 5-point Likert scale questions assessed understanding of AI, its educational inclusion, and its impact.
    • Student opinions were evaluated regarding AI in medicine and radiology.

    Main Results:

    • Only 31% of students reported a basic understanding of AI.
    • A vast majority (93.6%) recognized the importance of AI training and advocated for its curriculum inclusion.
    • Students with better AI understanding were more likely to view AI as revolutionary for radiology (p=0.02) and impactful (p=0.04).

    Conclusions:

    • A significant gap exists in AI knowledge among Thai medical students.
    • Students are enthusiastic about incorporating AI training into their medical education.
    • Embracing AI education can enhance AI adoption and improve healthcare standards in Thailand.