ORGANIZATIONAL AND MANAGEMENT ASPECTS OF ARTIFICIAL INTELLIGENCE IMPLEMENTATION IN REPRODUCTIVE CENTERS

• Goikhman Yaron Borisovich

  Author

• Adkhamova Negina Pulatovna

  Author

• Alimov Ijod Rustamzhonovich

  Author

The dynamic development of artificial intelligence (AI) technologies, particularly machine learning and deep neural networks, opens new horizons for personalized medicine. In the field of reproductive health, AI demonstrates high potential in tasks such as predicting the success of in vitro fertilization (IVF), automated analysis of embryo morphology, and interpreting complex genomic data for preimplantation genetic testing [1, 2]. These technological capabilities theoretically allow for increasing the efficiency of ART cycles, reducing the time for clinical decision-making, and, potentially, increasing the accessibility of high-tech care.

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