Abstract:

This article examines modern approaches to integrating artificial intelligence (AI) and simulation technologies into the postgraduate training and continuous professional development of general practitioners (family physicians). The relevance of this topic is driven by the growing complexity of clinical tasks, the need to minimize medical errors, and increase the availability of high-quality practical training. The aim of the study is to analyze the effectiveness and prospects of using AI-assisted simulators in developing and assessing the clinical competencies of family physicians. The methodology includes a systematic review of the scientific literature, comparative analysis, and data synthesis. The study revealed that the combination of AI and simulation training enables the creation of personalized, adaptive, and safe educational environments that facilitate the development of both technical and non-clinical skills (communication, decision-making). Based on the literature review, a conceptual model for integrating these technologies into the educational cycle has been developed and specific examples of their application are presented. The article contains an original diagram illustrating the AI-enabled learning cycle and a table comparing traditional and modern simulation formats. It concludes that the symbiosis of AI and simulation is a key driver of the transformation of medical education, enabling the transition to a competency-based model for training primary healthcare professionals.