People in the U.S. are waiting longer to have babies. And more and more families are seeking help with getting pregnant. In fact, according to Penn Medicine, one million babies have been born between 1987 and 2015 using in vitro fertilization or other assisted technology. But IVF success rates remain relatively low. There is a 21.3% chance of full-term normal birth weight and singleton live birth per assisted reproductive technology cycle, Penn Medicine states.

As it matures, machine learning has been applied to more and bigger challenges. One of the latest is women's health tech, a space where research has traditionally lagged, and that few companies have addressed, until now. In 2015, women's health tech startups raised only $82 million in funding from investment firms. Since then, that number has risen to $1.1 billion. AI health care company Presagen is one of the companies stepping up in this essential health space, with scalable machine learning that can be used by clinics and patients anywhere in the world.

ARTIFICIAL Intelligence technology is being used by an Aussie startup to help select the healthiest embryos for use in IVF treatments. Life Whisperer is based in South Australia and uses a combination of computer vision, human analysis and machine learning techniques to identify healthy embryos for implantation. The non-invasive embryo selection technique applies key algorithms that recognise important information, including morphological features, to grade embryo quality. The company is looking to identify a commercial partner to conduct the next validation phase of its technology. Co-founder and Managing Director Dr Michelle Perugini said machine learning meant the system could efficiently study "tens of thousands" of retrospective cases and build a portfolio of information.