INTELLECTUALIZED SIMULATION TRAINING OF FUTURE OBSTETRICS-GYNECOLOGISTS: A NEW PARADIGM OF MEDICAL EDUCATION (LITERATURE REVIEW)

Abstract

Simulation-based education has become one of the key components of medical training worldwide in recent years. In obstetrics and gynecology, where clinical decisions are often made under time pressure and increased risk, the creation of safe, controlled, and realistic learning environments is of particular importance. Traditional educational approaches do not always provide sufficient exposure to rare or critical clinical scenarios and may fail to ensure the acquisition of stable practical skills at an automated level. This review analyzes current literature on the application of artificial intelligence technologies in obstetrics and gynecology, focusing on three main domains: pregnancy risk modeling, the use of deep learning algorithms for diagnostic image interpretation, and the implementation of intelligent clinical assistants. The integration of AI into simulation platforms has been shown to facilitate personalized training scenarios, automated performance assessment, and enhanced realism of clinical models. Simulation centers support not only the development of technical competencies but also the improvement of teamwork and clinical communication, which are crucial in emergency settings. Moreover, simulation-based education adheres to ethical safety principles by enabling professional skill acquisition without risk to patients. Special attention is given to the current status of simulation technologies in Ukraine, highlighting the main barriers and future prospects for their development. Conclusion. AI-enhanced simulation-based education represents a promising approach to improving obstetric and gynecologic training and enhancing patient safety.