A couple tried for 18 years to get pregnant. AI made it happen | CNN

After 18 years of trying to conceive, a couple is expecting their first child thanks to a new AI-powered method called the STAR method, developed at Columbia University Fertility Center. The couple had previously undergone multiple unsuccessful in vitro fertilization (IVF) attempts due to the husband's azoospermia, a condition where no sperm is detectable in semen.

This innovative AI system analyzes semen samples to identify and recover hidden sperm, which traditional methods often miss. The STAR method utilizes a high-speed camera and imaging technology to scan a semen sample, taking millions of images to identify sperm cells. The system then isolates these cells, allowing embryologists to retrieve and use them for IVF.

In this particular case, the AI found three sperm cells in the husband's sample, which were then used to fertilize the wife's eggs, leading to a successful pregnancy. The wife expressed her disbelief and joy at the news, highlighting the significant impact of this technology. The development of the STAR method addresses a critical need in fertility care, as male infertility accounts for up to 40% of infertility cases.

Traditional treatments for azoospermia, like surgery or hormone therapy, can be invasive or ineffective. The AI-driven approach offers a less invasive and potentially more effective solution, increasing the chances for couples struggling with male infertility to conceive. The success of the STAR method underscores the transformative potential of AI in reproductive medicine.

With the precision of the STAR system and the expertise of embryologists, even a few sperm cells can now be used to successfully fertilize an egg. While currently available only at Columbia University Fertility Center, the developers aim to publish their findings, paving the way for broader adoption and offering new hope for couples facing male infertility.