In my post about embryo grading I described how an embryologist looks at an embryo and gives it a "score" – those mysterious letters and numbers like 4AA that we all learned to decipher during sleepless nights. But in recent years a new player has entered the lab: artificial intelligence. More and more U.S. clinics offer (and sometimes charge extra for) AI systems that scan and rank embryos. So is it a game changer – or mostly an invoice changer?
First, what it actually is: systems like time-lapse incubators photograph the embryo continuously through its development days, and an algorithm trained on millions of embryo images analyzes division timing, symmetry and dozens of other parameters – producing a score meant to predict implantation potential. The theoretical advantage: the human eye, even the most experienced one, is subjective. An algorithm grades everyone on the same scale, with no busy days and no fatigue.
What does the data say? The picture is mixed. Some studies show a real improvement in grading consistency and in picking the lead embryo; others show the difference versus an experienced embryologist is small to nonexistent. What's certain: AI doesn't turn an average embryo into an excellent one – it only helps choose more wisely among what you have. If you have three embryos, the question "which one do we transfer first" matters; if you have one embryo, no algorithm will change the plan.
And what does this mean for you as intended parents in a surrogacy journey? If your clinic uses this technology as part of its standard service – great, it's another tool in the box. If it's offered as a paid add-on, ask the right questions: does the clinic have its own data showing improved outcomes? Does it actually change the decision, or just produce a prettier report? And most importantly – would that money do more in an additional retrieval cycle or genetic testing?
My tip: technology is wonderful, but it's no substitute for the most important question to ask a clinic – how many transfers like yours, with gestational carriers, they performed in the past year, and what the outcomes were. The team's experience is worth more than any algorithm.
Good luck and good health!
