Article

The Use of Machine Learning for Human Sperm and Oocyte Selection and Success Rate in IVF Methods

2024-01-01

Abstract excerpt

Objective: Infertility is indeed a significant global health concern. The quality of gametes plays a pivotal role in determining the success rates of assisted reproductive technology (ART) cycles. In contemporary fertility and reproductive medicine, the utilization of machine learning (ML) has emerged as a powerful tool for processing large datasets, offering the potential to enhance existing ART practices. The ob...

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Literature Corpus work: 0a327229-c2b6-5187-b2a2-df251f4bc945
DOI: 10.1155/and/8165541

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