AI in IVF

AI has the potential to enhance clinical efficacy and efficiency, hence enhancing the course of ART treatment. Currently, embryologists manually review images to look for a certain set of visually discernible traits. Although an embryologist with a certain amount of expertise has limited information, the AI predictor has at least 100,000 instances in its database. It has more experience than any doctor and can forecast the future more accurately. This gives the AI models the ability to examine tiny details that are frequently difficult for even the most skilled embryologists to notice.

From fertilisation to the blastocyst stage, AI provides ongoing forecasts by integrating with time-lapse imaging (TLI) technologies. Embryos at various stages of development are automatically recognised, segmented, and studied at the pixel level as they are photographed by the TLI system

AI can be a boon as it detects healthy embryos to implant which results in successful pregnancies as it saves trauma and money for patients, reduces human error and enhances precision

Recognition of the good embryos from the bad ones using a series of images is done by AI for which the system is trained. In fact, accurate results compared to manual assessment have been observed during trials