Here is how AI is transforming reproductive treatments - ET CIO

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By Vanshika Sharma The dimensions of healthcare has widened with the adoption of modern thinking and the acceptance of medical innovation. Over the past few years, there has been an increasing utility and a growth of AI and digital technologies in reproductive medicine for new standardization, automation, and precision. With automatic annotation of embryo development, embryo grading, and embryo selection for implantation is evolving as one of the best uses of Artificial intelligence applications. The selection process of the best embryo from the larger cohort of the fertilized egg is majorly by the embryologist by grading the embryos. "The embryo selection process is on the morphology and the photography of that particular embryo. Now, these grading because of the manual intervention will change based on embryologist to the embryologist, lab to lab and, city to city. Thus, the standardizing and automizing the process using AI becomes very, very important," said, Nitiz Murdia, the co-founder and Director of Marketing & Embryology at Indira IVF Group while, explaining the grading of the embryos in acquiring the best suitable matches.

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