Assisted Reproductive Technology (ART) has revolutionized fertility treatments, yet it faces numerous challenges, including high costs, lengthy procedures, and variable success rates. Artificial Intelligence (AI) holds the potential to address these concerns by optimizing treatment protocols, improving embryo selection, and enhancing patient counseling. This paper explores the integration of AI into ART, highlighting its role in predictive modeling, image analysis, and personalized medicine. By leveraging AI algorithms, ART can become more efficient, cost-effective, and tailored to individual patient needs, ultimately advancing the field of reproductive medicine and offering hope to millions of couples struggling with infertility.
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Puri et al. (2024) studied this question.
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