{"id":106563,"date":"2021-06-28T16:14:37","date_gmt":"2021-06-28T14:14:37","guid":{"rendered":"https:\/\/ivi-fertility.com\/?p=106563"},"modified":"2022-04-12T17:35:14","modified_gmt":"2022-04-12T15:35:14","slug":"artificial-intelligence-selection-embryos","status":"publish","type":"post","link":"https:\/\/ivi-fertility.com\/blog\/artificial-intelligence-selection-embryos\/","title":{"rendered":"Accuracy of Artificial Intelligence in the Selection of Chromosomally Normal Embryos is 75%"},"content":{"rendered":"

A novel artificial intelligence (AI) approach to measure cell division activity associated with chromosomal status, is being presented these days at the 37th ESHRE<\/a>. This year for the second time, due to the health situation, the ESHRE congress is taking place on line. The study presented by IVI is the latest work on applying Artificial Intelligence to embryo selection<\/strong>, Computer vision can distinguish between euploid and aneuploid embryos<\/em>.<\/p>\n

IVI has performed the most extensive studies on Artificial Intelligence\u2019s application to embryo selection, with the broadest combined case study in scientific history, analyzing 25,000 embryos and 4,000 patients. Thanks to this study, IVI is pioneer in the embryology sector, providing its clinics with diverse techniques that allow us to offer universal, standardized and automated selection of embryos. In addition, the latest findings were published in the US journal Fertility and Sterility<\/em> and in European Reproductive Biology OL<\/em>.<\/p>\n

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Applying Artificial Intelligence to embryo selection<\/strong><\/h2>\n

The development and introduction of Artificial Intelligence (AI) technology in recent years has revealed the potential to address the inefficiencies in several steps of assisted reproduction. This includes improvements in some in-vitro fertilization (IVF) lab procedures and, more specifically, in the selection of embryos.<\/p>\n

\u201cWe have applied data-based solutions in embryology laboratories to assess the potential for embryo implantation. This allows us to improve the efficiency of one of the most important processes in assisted reproduction: embryo culture and selection, with an accuracy of 75 % in the selection of chromosomally normal embryos. However, it\u00a0 was not possible with the manual assessment of the previous process to identify these embryos, regardless of the experience of the embryologist,\u201d said Dr. Marcos Meseguer, embryologist and scientific research supervisor of the Embryology Unit of IVI Valencia<\/a>.<\/p>\n

Stanford University recently recognized Dr. Meseguer as one of the top researchers in the world, along with professors Jos\u00e9 Remoh\u00ed and Antonio Pellicer, and Dr. Juan Antonio Garc\u00eda Velasco, all of whom are IVI professionals.<\/p>\n

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How can AI improve IVF treatments?<\/strong><\/h2>\n

AI is a broad term that encompasses machine learning and deep learning. It refers to any program capable of solving problems and performing tasks as human beings normally do.<\/p>\n

\u201cThis system automatically classifies embryos using directed learning methods based on the experience of expert embryologists. It has the ability to detect and evaluate all of the steps in the embryo’s development, while also classifying its morphology. Automated, as opposed to manual, embryo selection is more accurate<\/strong>, so the likelihood of a full-term pregnancy is directly related to the percentage score, and thus the patient has a greater probability of success,\u201d explains Dr. Meseguer.<\/p>\n

Therefore, Artificial Intelligence offers many improvements in fertility treatments, not only concerning embryo selection:<\/p>\n