Professor Jeong Hye-kyung of Korea University's Anam Hospital won the Best Production Award of the Korean Society of Reproductive Medicine
Dec 10, 2024
Professor Jeong Hye-kyung of obstetrics and gynecology at Korea University Anam Hospital won the best performance award in the clinical category at the 87th Korean Society of Reproductive Medicine Autumn Conference in 2024 held on November 24.
Professor Jeong Hye-kyung became the winner of the award through the presentation of the 「Predictioning Successful Live Birth in Frozen Embryo Transfer: An Artificial Intelligence Approach」 using artificial intelligence.
The presentation is the result of a study conducted by Professor Jeong Hye-kyung at Professor Park Hyun-tae's team (Professor Park Hyun-tae of obstetrics and gynecology, Professor Ryu Ki-jin, and Professor Lee Kwang-sik of AI Center) in which artificial intelligence evaluated the quality of embryos through images of embryos and developed a method for predicting the possibility of pregnancy success. It has received great attention for improving the efficiency of infertility treatment and contributing to increasing social utility, which is becoming more important in the era of low birth rate.
Professor Hye-kyung Jung can predict the possibility of pregnancy success before transplanting frozen embryos in vitro procedures using AI"This will reduce the number of procedures, reduce social costs, and significantly reduce the physical burden and mental stress in motherhood," he said, explaining the study.
Professor Jeong Hye-kyung became the winner of the award through the presentation of the 「Predictioning Successful Live Birth in Frozen Embryo Transfer: An Artificial Intelligence Approach」 using artificial intelligence.
The presentation is the result of a study conducted by Professor Jeong Hye-kyung at Professor Park Hyun-tae's team (Professor Park Hyun-tae of obstetrics and gynecology, Professor Ryu Ki-jin, and Professor Lee Kwang-sik of AI Center) in which artificial intelligence evaluated the quality of embryos through images of embryos and developed a method for predicting the possibility of pregnancy success. It has received great attention for improving the efficiency of infertility treatment and contributing to increasing social utility, which is becoming more important in the era of low birth rate.
Professor Hye-kyung Jung can predict the possibility of pregnancy success before transplanting frozen embryos in vitro procedures using AI"This will reduce the number of procedures, reduce social costs, and significantly reduce the physical burden and mental stress in motherhood," he said, explaining the study.
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This article was translated by Naver AI translator.
