RESEARCH OF READINESS FOR THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN MEDICAL EDUCATION

Abstract

Introduction. Integration into the modern European educational environment brings a series of changes and modernization in approaches to the educational process, professional activities, and the need for digital solutions in everyday life. At the same time, the application and impact of artificial intelligence (AI) in the educational, scientific, and healthcare remain controversial. Aim. To highlight the results of the analysis of readiness and experience in the application of artificial intelligence in medical education in Ukraine. Materials and methods. To accomplish the tasks set, the following theoretical and empirical research methods were used: bibliosemantic method, system analysis method, conversations and interviews with participants in the educational process, analysis of readiness and experience in the application of artificial intelligence in medical education in Ukraine, surveying (464 respondents participated in the survey: 439 higher education students and 25 students of professional pre-higher education from Bogomolets National Medical University). Results. We conducted a questionnaire on the use of AI by medical education students. The results of the survey showed widespread use of AI, and the respondents was indicated by the positive effect of its use. We also summarized the functions and capabilities of AI that respondents would like to have in educational applications and grouped them into five categories. We conducted a thorough analysis of the Digital Competency Frameworks to determine readiness for AI applications in various industries, including the healthcare. Conclusions. The analysis key Frameworks shows that AI is an important tool that can be applied in various fields of activity and also create a foundation for integrating AI into education and healthcare. AI is a crucial element of Ukraine’s digital transformation and has significant potential for application in healthcare. The development of AI requires a comprehensive approach, including regulation, education, and professional training.

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