Prediction of IVF Success Made Easy
For couples unable to naturally have a baby, this new system can potentially reduce the number of IVF cycles required and allow them to start a family quickly.
The AI machine can identify flaws in the IVF cycle invisible to the human eye
By removing the potential for human error, more cycles of IVF could result in healthy babies, researchers said. "Instead of a human looking at thousands of images, a piece of software looks at them and is capable of learning all the time," said Stuart Lavery, consultant at the Boston Place Clinic in London in the UK.
"As we get data about which embryos produce a baby, that data will be fed back into the computer and the computer will learn," Lavery was quoted as saying by 'The Times'. Researchers trained a computer to identify healthy embryos using images of 482 bovine embryos during their development. This enabled the system to spot early flaws that led to poor development - many of which were invisible to humans.
Researchers found that the technique was much more consistent than human embryologists. It was more reliable and it could also look for things that the human eye could not see, they said.
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