An Assessment Model for the Prediction and Analysis of IVF Using Application of Machine Learning and Artificial Intelligence Techniques

Infertility is the amalgam of aspects that put a stop to pregnancy that is, it is a condition in which you cannot get pregnant after one year of trying to conceive. It involves a lot of care and expertise while choosing the best fetus that leads to a successful pregnancy. Assistive reproductive technology (ART) helps to solve this problem. In vitro fertilization (IVF) is one of the most popular forms of ART. Artificial intelligence plays a digital revolution and numerous advances in the field of reproductive medicine and eventually provides huge benefits to infertile victims. The main purpose of this article is to focus on methods that can predict pregnancy with high accuracy without human intervention. It provides fruitful lessons learned using machine learning methods. This makes it easier for the physicians to understand the behavior of the treatment. Blastocyst images are being distributed to detect and predict the best embryo possible for a successful pregnancy. This pioneer service gives an idea of how the ministry can benefit the next generation.