Uro, Volume 4, Issue 2 (June 2024) – 2 articles

A major global health concern, male infertility affects 8–12% of couples globally. Leukocytospermia is a complicated illness that is distinguished from other reasons causing male infertility by having high white blood cell counts in semen. The complex mechanisms behind leukocytospermia’s effects on sperm function and fertility are examined in this review. Leukocytospermia induces oxidative stress and reactive oxygen species (ROS) that impair DNA integrity, mitochondrial function, cytoplasmic extrusion, and sperm quality overall. Leukocytospermia is exacerbated by non-infectious factors, such as substance abuse and varicocele, even though genital tract infections are a common cause. The usefulness and dependability of diagnostic techniques range from immunochemistry to direct counting. Although there is still disagreement on the most effective course of action, clinical-care techniques, such as antioxidant supplementation and antibiotic therapy, attempt to address underlying causes and reduce ROS-induced damage. Prospectively, the combination of artificial intelligence with the latest developments in artificial reproductive technologies presents opportunities for more precise diagnosis and customized treatments. Full article

Male infertility has affected an increasingly large population over the past few decades, affecting over 186 million people globally. The advent of assisted reproductive technologies (ARTs) and artificial intelligence (AI) has changed the landscape of diagnosis and treatment of male infertility. Through an extensive literature review encompassing the PubMed, Google Scholar, and Scopus databases, various AI techniques such as machine learning (ML), artificial neural networks (ANNs), deep learning (DL), and natural language processing (NLP) were examined in the context of evaluating seminal quality, predicting fertility potential, and improving semen analysis. Research indicates that AI models can accurately estimate the quality of semen, diagnose problems with sperm, and provide guidance on reproductive health decisions. In addition, developments in smartphone-based semen analyzers and computer-assisted semen analysis (CASA) are indicative of initiatives to improve the price, portability, and accuracy of results. Future directions point to possible uses for AI in ultrasonography assessment, microsurgical testicular sperm extraction (microTESE), and home-based semen analysis. Overall, AI holds significant promise in revolutionizing the diagnosis and treatment of male infertility, offering standardized, objective, and efficient approaches to addressing this global health challenge. Full article