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AI steps in to decide which embryo will result in an IVF success

AI steps in to decide which embryo will result in an IVF success

Srishti Deoras

Need to know what AI is up next? Well, it is busy predicting the success rate of embryos that would grow into healthy babies during the process of In-vitro fertilization. London based researchers in a recent development have developed a new artificial system that can accurately predict which IVF embryos will grow into healthy babies.

The current procedures around IVF require the doctors or embryologist to depend on their experience and professional expertise to chose fertilized eggs that are most likely to result in pregnancy. Since the process of detecting healthy embryo involves them to do the checking through eyes, the estimation may not be always right.

But with the recent development, artificial intelligence could soon extend a helping hand to doctors in predicting which embryo will result in IVF success.

Apparently this AI system has been trained to recognize the good embryos from the bad ones using a series of images. The trials have found it to be more accurate than scientists and doctors pinpointing healthy embryo.



At a time when machines and artificial intelligence have made a steady progress in almost all the fields, it is trying to remove any potential human error in the overall IVF process. The researchers believe that it can be done by training machines to perform the task.

An experiment which was tried on cow embryos to detect the good lot of embryos, has resulted in successful results. It was carried out by the Boston Place Clinic in London, UK, where they tested it using a series of images.

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Scientists believe that instead of human looking at thousands of images, a piece of software looking at them could lead to an eventual learning and hence better predictions. Once the data on embryos producing a baby is generated, it can be fed back to computers for further learning.

As a result of its ability to detect early flaws, the technique is much more consistent than humans and can be relied upon extensively.

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