For far too many aspiring mothers, calling pregnancy “a little complicated” would be the understatement of a lifetime. From tracking/analyzing hormones to undergoing MRI’s, pregnancy can feel like a calculus problem attached to an emotional rollercoaster!
But don’t worry, Momma! From hormone-tracking apps to new invitro technology, pregnancy is changing for the better. With new breakthroughs in Artificial Intelligence (AI), scientists are bringing expecting mothers hope and new opportunities every step of the way! Here’s how the newest AI technology is making pregnancy safer, simpler and more accessible for mothers and little ones everywhere.
Fertility? There’s an App for That
In the world of fertility, knowing your body’s behavior is crucial to initiating and detecting pregnancy. Unfortunately, most people simply don’t have the time (or energy!) to map out the connection between their hormones, menstrual cycle, diet and various lifestyle changes. Today, future mommies are lucky enough to let app-based technology do the heavy lifting when it comes to determining when they are at their most fertile. iOS/Android apps like allow users to log their menstrual frequency, diet, recent sexual activity and more to draw precise and accurate conclusions about their fertility levels. With just a few daily clicks, Flo’s AI-driven technology will cross-reference your info to let you know when you’re ripe for conception. No more guessing games!
AI and IVF
While Invitro-Fertilization (IVF) was a breakthrough for couples trying to conceive with the help of technology, failed implantations are still far too common. With an estimated two out of three couples still suffering the financial and emotional burden of failed IVF cycles, many are looking to AI to improve outcomes for a procedure that is often a last-ditch effort.
Although AI’s application to IVF is still in its early stages, scientists are already hopeful that new technology will be able to detect healthy, viable human embryos to ensure successful fertilization. New startups like hope to utilize their “deep learning” AI program to detect the healthiest embryos based on a vast array of patient medical data. With scientists already training AI to “learn” and process large data sets, the future looks bright for IVF patients!
It’s not as crazy as it sounds! While they may lack a bit of personal touch, virtual AI-based chatbots are already stepping into the role of “midwife” for expecting mothers who need quick answers to their many pressing questions.
, described as a “virtual pregnancy assistant,” is a data-trained chatbot that provides custom, knowledgeable answers to questions about the pregnancy process. Think of it as the world’s best pregnancy search engine! Sure, it might not replace a reliable human midwife, but it’s a comforting resource and hopefully the first of many innovations to come.
Nothing hits home quite like that first MRI scan of your future bundle of joy. As awe-inspiring as those photos are, MRIs aren’t just for show. A reliable MRI scan looks for abnormalities, assesses the child’s health and allows parents to make well-informed decisions.
Researchers at used AI-supported MRI technology to draw a link between inflammation in expected mothers and overall brain health in newborns. Aside from discovering a previously unknown link, these findings also demonstrate new possibilities for how AI can be utilized to diagnose and prevent future problems before birth even occurs!
The Future: Artificial Wombs
What sounds bizarre to some may sound like a miracle to others! Researchers at say we’re not very far off from developing ectogenesis, a term used to describe a completely external womb. By replicating the conditions of the womb, ectogenesis promises near unimaginable medical benefits.
While most researchers are still weighing the ethical implications, there’s no doubt that such technology could potentially bring the miracle of pregnancy to more couples while also ensuring safer environments for premature and sick infants at their most vulnerable stages.
Victoria Liset is strategic business & technology consultant to SMEs. She helps businesses improve their performance by using data more efficiently, and helping them to understand the implications of new technologies such as AI, Machine Learning, Big data, blockchain and IoT.