Application of bibliometric analysis in the study of scientific publications on artificial intelligence in medical education

Abstract

Aim. The aim of the article is to identify and assess the main research trends regard- ing the use of artificial intelligence (AI) in medical education with particular emphasis on student perception based on bibliometric data of literature published in the years 1995 to 2025 in the Scopus database. Methods. As can be seen from the considerations contained in this article, the use of bibliometric analysis can be considered an effective tool for developing a synthetic approach to current trends and challenges related to the scientific issues studied. Results. The results obtained from the bibliometric analysis confirm the growing accept- ance and effectiveness of artificial intelligence (AI) in teaching students preclinical medical competences. Studies published in the world literature provide evidence of the positive impact of AI on specific areas of students’ health and the effectiveness of teaching, from dietary com- petences, through mental health, to biological safety in clinical settings. The researchers point to high expectations towards AI as well as the need for its responsible and ethical implemen- 50 THEORY tation. At the same time, the authors recommend the integration of AI taking into account the specificity of individual medical disciplines. In the researched topics, the following thematic areas were considered key: (1) Medical education and healthcare systems, (2) Distance edu- cation and digital technologies, (3) AI technologies and machine learning, (4) Man and the psychological and ethical perspective (results obtained using VOSviewer software).

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