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Current Applications of Artificial Intelligence in Reproductive Medicine (and Predominant OB/GYN and Andrologic Conditions)
0
Zitationen
8
Autoren
2025
Jahr
Abstract
Artificial intelligence (AI) has increasingly permeated clinical domains, including reproductive medicine, where its applications span from gamete assessment to population-level epidemiology. The convergence of machine learning, deep learning, natural language processing, and computer vision has enabled novel diagnostic, predictive, and decision-support tools that enhance clinical efficiency and patient outcomes. This paper provides a review of current AI technologies in reproductive medicine, encompassing assisted reproductive technologies, prenatal care, maternal health, sexual and contraceptive health, epidemiology, and low-resource settings. Ethical, legal, and social implications, as well as challenges related to data quality, clinical validation, and integration, are explored. Future opportunities in explainable AI, precision medicine integration, real-world evidence generation, and global collaboration are discussed. The analysis underscores AI’s transformative potential and highlights pathways for responsible deployment to advance reproductive medicine.
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