The role of artificial intelligence in in vitro fertilization-Express Healthcare

2021-11-12 09:05:27 By : Ms. Sarah Zhang

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Dr. Gurpreet Singh Kalra, Medical Director of ART Fertility Clinic, talks about the role of technology in IVF

Technology is changing society and promoting its development. It helps us make our lives more convenient and provides us with solutions to problems that we have never had before. One of the recent technological advancements is the introduction of artificial intelligence (AI). In the past decade, artificial intelligence seems to have matured. Today, we humans interact with artificial intelligence in some way every day. Customized product advertisements, face recognition, voice recognition, online shopping, listening to customized music playlists and even using virtual assistants all exist with the help of artificial intelligence. Artificial intelligence helps us stimulate economic growth and enhance global health and well-being, but it can also be used to mislead opinions.

Artificial intelligence can play a role in almost every industry, including technology, financial services, education, games, automobiles or health. One of the industries that is increasingly adopting artificial intelligence and requiring more is healthcare. The adoption of artificial intelligence is significantly reshaping the Indian healthcare market. According to forecasts, by the end of 2021, the application value of artificial intelligence in the field of healthcare will reach 431.97 billion rupees, and it will grow at an annual rate of 40%.

Advances based on artificial intelligence are increasingly becoming part of the different professions of medical science. Artificial intelligence has also gained a foothold in some practical areas in the field of reproductive medicine or infertility management. At present, it is mainly embryo grading. It is expected that there will be further development in sperm and egg grading and clinical decision-making.

Earlier, the IVF process relied heavily on human intervention. Embryo grading is one of the most important processes used in IVF to distinguish high-quality embryos from poor-quality embryos, and is traditionally performed by skilled embryologists. Studies have found that the main cause of miscarriage is genetic abnormalities in conception. The success rate of any IVF cycle is highly dependent on the transfer of high-quality and genetically normal embryos.

The embryo is placed in an incubator called a time-lapse embryo imaging device. These are incubators equipped with special cameras that can take photos of each growing embryo every 5-20 minutes for 5-6 days. AI's embryo grading is based on the availability of large data sets of various morphometric parameters of developing embryos. Over time, with the help of machine learning, these data sets make it possible to develop intelligent algorithms. Intelligent algorithms evaluate and compare images from growing embryos with millions of stored images, and determine the risk of abnormalities, such as the risk of genetic abnormalities in a particular embryo. If the predictive value of this assessment is considered high, it can help identify an embryo with a high chance of success, rather than an embryo that is more likely to fail implantation or miscarriage. Traditionally, genetic abnormalities (aneuploidy) are detected by performing an invasive test called PGT-A (preimplantation genetic testing for aneuploidy). This investigation involves extracting some cells from the surface of the embryo for genetic analysis. This is an invasive test and there is a risk of damaging the embryo. In addition, there may be other pros and cons, including unclear results and chimerism (mixed cell lines), so it is not clear which embryo is genetically normal.

Artificial intelligence simplifies the treatment process by eliminating human error and saving time and energy. AI makes the embryo selection process easier, especially for women over 35 years of age and less likely to have a full-term baby.

Thanks to artificial intelligence, medical experts now have the ability to identify abnormal embryos or embryos with certain genetic defects that may run in the family. Genetic testing techniques have been shown to have an impact on the results.

Technological advances, such as the use of AI to use time-lapse imaging to more accurately grade embryos, have promoted the success of infertility treatment. As the data and algorithms become more sophisticated, it is expected that there will be better results in the near future.

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Express Healthcare was first published under the name Express Healthcare Management in January 2000 and has now grown into the #1 business news magazine in the healthcare industry. The editorial content includes: news, opinions, analysis and interviews, the main parts include: market, strategy, knowledge, life, radiology, hospital infrastructure, [email protection] In addition, we also launched a new project called In Imaging for the Radiology quarterly and imaging section.

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