Browsing by Author "Shevchenko Tetiana"

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    The Role of Artificial Intelligence in Transforming Medical Education: Horizons, Innovations and Challenges
    (Part of the book series: Studies in Systems, Decision and Control, 2026-02-01) Shevchenko Tetiana; Olha Khomych, Mariia Umryk, Oksana Strutynska, Antonina Zlobynets & Yurii Marushko
    Artificial intelligence (AI) holds promise in transforming medical education through improved diagnostics, personalized treatments, and automated tasks. This study examines AI’s potential in healthcare and medical education, highlighting benefits, challenges, and current research in medical practice and education. A survey of 92 medical students explored perceptions of AI across four domains: its role in medicine, impact on medical education, ethical concerns, and required skills. Findings show 60.9% of students anticipate AI reducing costs and automating tasks, while 39.1% express skepticism due to initial investments. Regarding medical education, 43.3% see AI’s impact varying by application, with 32.3% endorsing its use in simulations. Ethically, 47.8% prioritize accountability, and 30.4% emphasize transparency. Critical thinking and data skills are valued by 73.91% of students. Students acknowledge AI’s potential benefits in medical education but recognize ethical dilemmas and implementation challenges. This study advocates for a balanced approach to integrating AI into healthcare and medical education, emphasizing ethical awareness and skill development among future medical professionals.