AI Could Predict Baby Gender Days After Fertilization, Study Suggests

Artificial intelligence (AI) may soon offer a way to determine a baby’s gender as early as three days after fertilization, according to recent research. A study conducted by scientists at the University of Cambridge demonstrated that an AI algorithm outperformed human experts in identifying the sex of embryos during in-vitro fertilization (IVF).

How the AI Works

The Cambridge University team trained an algorithm by analyzing 515 videos of embryos undergoing IVF. These embryos were observed under a microscope in their very early stages of development – just days after the egg was fertilized, appearing as a small cluster of cells. The AI was then compared to three human experts in its ability to distinguish between male and female embryos.

AI Accuracy vs. Human Accuracy

Human experts achieved only 46% accuracy in identifying the sex of the embryos, which is comparable to random guessing. In contrast, the AI algorithm achieved an average accuracy of 61%, demonstrating a statistically significant improvement. The AI was able to detect subtle differences in the embryos that were invisible to the human eye. Journal of Gynecology Obstetrics and Human Reproduction

Current Methods and Limitations

Currently, expectant parents typically learn the sex of their baby around 20 weeks of pregnancy during an ultrasound. Whereas blood tests and biopsies can determine the sex earlier, these methods are invasive and carry potential risks.

Potential Applications and Future Research

The study suggests that AI could be used to analyze ultrasound images to detect sex-related differences earlier in pregnancy. This technology builds on the growing use of AI in medical imaging, where it is already being used to detect signs of cancer in breast and lung scans with greater speed and sensitivity than human analysis. Journal of Gynecology Obstetrics and Human Reproduction

According to study author Prof Magdalena Zernicka-Goetz, subtle sex-related differences may start to emerge around day three of embryonic development. “Studying sex differences at this early stage may enhance our understanding of why some embryos fail to develop,” she stated. “Our findings open the possibility for an early, non-invasive detection tool that could assist in identifying and addressing developmental abnormalities.”

AI is also being used to improve embryo selection in IVF, analyzing time-lapse imaging and morphological data to predict embryo viability and potentially improve implantation outcomes. Biology (Basel) and US Fertility