Abstract

This chapter mirrors the revolutionary effects of Artificial Intelligence on sperm evaluation, which is a very crucial aspect of male infertility due to the fact that nearly 50% of infertility cases worldwide are attributed to males infertility. It starts with the importance of sperm quality evaluation in terms of count, motility, and morphology; the inadequacy of classical methods like manual semen analysis and Computer-Assisted Sperm Analysis (CASA). The authors layout how present AI technologies with an emphasis on machine learning and deep learning algorithms make the evaluation of sperm more intense and efficient. The paper discusses how AI might assist and indeed improve sperm morphology analysis, motility assessment, concentration counting, DNA fragmentation analysis, and predictive modeling. This chapter shall argue that AI might be very influential in male fertility diagnostics and thus may open the door to assessments that are far more precise and thus could potentially improve the clinical outcomes of assisted reproductive technologies.