UDC 378:004.8:159.955:614.253(07)

Bikhatova E.T.¹ (Astrakhan, Russian Federation) – elvira.ellevira@yandex.ru; Ivanchuk O.V.¹ (Astrakhan, Russian Federation) – olgaiva@astgmu.ru

¹Astrakhan State Medical University

Abstract. This article is devoted to identifying the systemic gap between the need for AI competencies among physicians and the actual unpreparedness of all participants in medical education (students, teachers, practicing physicians, employers). The introduction of artificial intelligence technologies into clinical practice requires a revision of the content of medical educational programs. However, the success of this transformation depends on the real readiness of all process participants: practicing physicians, teachers and employers. The aim of the study is to identify deficits, attitudes and needs of these groups to substantiate the need for a holistic pedagogical model. A survey was conducted among 84 practicing physicians, 46 medical university teachers and 17 employers (the city of Astrakhan and the region). The results showed that the majority of physicians (81%) experience an acute deficit of knowledge and skills in working with AI systems, while 68% do not trust the results of algorithms; self-assessment of competencies does not exceed 2.71 points out of 5. Only 8% of teachers consider themselves competent in teaching how to work with AI technologies, and 85% assess the existing methodological support as insufficient. Employers in 87% of cases insist on the mandatory inclusion of AI topics in curricula, but only 2% consider graduates ready to apply AI. A systemic gap has been identified between the need for specialists and the actual level of training. This fact proves the need for the implementation and testing of a model for forming the readiness of future doctors to work with AI technologies, which includes teacher training, cross-cutting content and active teaching methods.

Keywords: artificial intelligence, medical education, readiness for professional activity, practicing physicians, medical university teachers, employers, pedagogical model.

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For citation: Bikhatova, E. T., & Ivanchuk, O. V. (2026). Medical personnel readiness to work with artificial intelligence: Assessment of deficits and needs. CITISE, 2, 998-1009 (In Russian).