Artificial Intelligence in Gamete Cell Selection and Microbiologic Analysis

Abstract

Infertility is one of the most common problems worldwide. Half of the causes of infertility are due to women and half to men. For this reason, studies to overcome this problem are concentrated on the way of ensuring the continuation of the generation by using high technology. For this purpose, applications such as (in vitro fertilization) IVF and (intra cytoplasmic sperm injection) ICSI are widely applied. This process is done by experts and produces non-objective results. As a result, artificial intelligence (AI) technology has begun to be used. Devices such as computer-assisted sperm analysis (CASA), flow cytometry provide objective evaluation in the evaluation of semen. Artificial intelligence has also been used for oocyte and embryo. Similarly, artificial intelligence is used in microbiological analysis. There is a relationship between the presence of microbiota in semen and sperm quality. Thanks to artificial intelligence, rapid and reliable microbiological analysis, diagnosis, and antimicrobial resistance are measured. In this way, microbiological analyzes in semen are also measured with artificial intelligence. Therefore, it is one of the most important goals that the analyzes made in these processes give objective and reliable results and do not harm the cell to be used. This review also highlights the current computer-based software systems used in sperm, oocyte and embryo evaluation.