The Integration of Artificial Intelligence in In Vitro Fertilization: A Comprehensive Narrative Review

Artificial Intelligence (AI) in Assisted Reproductive Technology (ART) is transforming key areas of fertility treatments such as sperm collection, analysis of ovum quality, selection of embryos, genetic tests, customized treatment plans, stimulation protocols, as well as monitoring of equipment. This review article aims to review how every one of these fields is advanced by AI and the contribution to the precision, speed, and outcomes of the patients. Sperm selection in ART is enhanced by AI capacity in identifying and characterizing sperm quality through morphology, motility, and deoxyribonucleic acid (DNA) integrity, eliminating chances of human errors. A range of AI systems involves the procedure of selection and sorting of sperm in order to maximize fertilization and minimize contamination. Likewise, AI optimizes the assessment of ova quality by bringing in morphological evaluations and time-lapse video imaging for continuous observation of ova maturation. Predictive analytics in AI deal with large patient data to tailor treatment options, modify stimulation schedules, and increase the likelihood of pregnancy. In embryo selection, AI assesses morphological characteristics and developmental trends obtained from time-lapse imaging to select embryos with the best implantation chances. Combining it with genetic screening technologies, AI can identify genetic disorders on time to guarantee that only healthy genetic material is transferred. Moreover, artificial intelligence equipment tracking systems track equipment status and prognosis thus improving laboratory productivity and compliance with the relevant laws. On the ethical front, AI enhances matters of ownership, data protection, and patient safety through all these processes. With the help of AI, ART clinics can increase effectiveness, enhance patients' satisfaction, and develop the field of fertility treatments to make them more available and affordable.