PCOS Pregnancy Risk: A New Machine Learning Tool for Better Outcomes

Women with polycystic ovary syndrome who get pregnant after fresh IVF or ICSI face a higher chance of losing the baby. This is a real problem for many couples trying to build families. The risk is higher than for other groups, which makes it hard for doctors to predict who might struggle. They need a way to tell who is at most danger. Current methods are not always reliable enough.

A big multicenter study looked at this issue. They tracked nearly 9,000 clinical pregnancies across many centers. The research combined three phases: the main study, an external check, and a follow-up over time. This way they could see how accurate the model was in real life. They wanted to make sure the tool worked everywhere, not just in one place.