Aspects of the use of artificial intelligence in medical education: Results of a cross-sectional survey conducted at Bogomolets national medical university

OBJECTIVE: Aim: To analyze the key aspects of artificial intelligence (AI) application in medical education and to assess related psychological attitudes among students and academic staff. PATIENTS AND METHODS: Materials and Methods: A cross-sectional study was conducted using an anonymous online survey. A total of 727 respondents participated, the majority of whom were involved in medical education. The questionnaire included demographic items, questions on frequency and purposes of AI use, self-assessment of AI proficiency, and a 40-item scale evaluating psychological attitudes. Data were analyzed using descriptive statistics and presented as relative frequencies (%). RESULTS: Results: The findings demonstrated significant integration of АІ into the medical education environment: 41.4% of respondents reported daily use, while 46.6% reported using these tools several times per week. Primary applications included learning support (79.6%), self-education (78%), and preparation of educational materials (30.1%). While 61.8% of participants rated their proficiency as high, the study raised concerns about the rapid pace of technological development and potential cognitive dependence. CONCLUSION: Conclusions: The normalisation of АІ in academic practice indicates its role as a cognitive extension. While it enhances efficiency and creativity, the risk of reduced autonomy and ethical challenges necessitates the development of structured educational strategies and methodological guidelines for its responsible use in medical training.