The Role of Artificial Intelligence in Revolutionizing Infertility Diagnosis and Treatment: Current Applications and Future Directions

Infertility, affecting millions of couples globally, remains a complex and multifactorial issue with both male and female contributors. Recent advancements in artificial intelligence [AI] offer new hope in revolutionizing infertility diagnosis and treatment. AI's ability to analyze large datasets, identify patterns, and provide predictive insights has paved the way for personalized, more effective fertility care. This review explores the transformative role of AI in managing infertility, including its applications in diagnostic imaging, predictive analytics, genetic testing, and personalized treatment planning. AI also enhances assisted reproductive technologies [ART], such as in vitro fertilization [IVF], by improving embryo and sperm selection, as well as optimizing treatment protocols. Despite its promising potential, AI in fertility medicine raises important ethical and practical challenges, including data privacy, algorithmic biases, and the need for rigorous clinical validation. The review calls for more research, standardized practices, and ethical frameworks to ensure the responsible integration of AI into reproductive healthcare