EC Gynaecology

The training of gynecology specialists is a complex process that requires the acquisition of extensive theoretical knowledge, refined surgical skills, proficiency in diagnostic imaging, and, above all, the ability to provide medical care within a highly intimate and personal context. Artificial Intelligence (AI) has emerged as a transformative force with the potential to revolutionize medical education by offering innovative solutions to traditional challenges in residency training.

This narrative review explores current applications of AI in gynecology residency education, analyzing its benefits, limitations, and associated ethical imperatives. The analysis encompasses the use of large language models (LLMs) for clinical decision support, advanced surgical simulation platforms, and AI-assisted diagnostic imaging training.

We conclude that, when implemented thoughtfully and ethically, AI can serve as a powerful complementary tool, personalizing learning, optimizing skill acquisition, and ultimately contributing to the development of more competent and confident gynecologists.

 Keywords: Artificial Intelligence (AI); Large Language Models (LLMs); Medical Care

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