The Application of Artificial Intelligence in Assisted Reproductive Technology: Prospects for Sperm Screening, Embryo Developmental Potential and Pregnancy Prediction
ZHANG Wuwen1*, JIAN Xianzhong2, LI Kai1, YIN Ping1, YAN Hua1*
With the rapid development of AI (artificial intelligence) technology, its application in the field of assisted reproduction has received increasing attention. Assisted reproductive technology plays an important role in helping infertile couples realize their fertility wishes, and the introduction of AI technology offers new possibilities for improving the efficiency of embryo selection and pregnancy success rates. More and more studies have shown that the application of AI technology in sperm screening, embryo developmental potential assessment and pregnancy prediction is gradually increasing, especially in embryo image analysis, data mining and prediction model construction, showing significant advantages. Despite the great potential of AI technology, its practical application still faces challenges such as data quality, algorithm transparency and ethical issues. The aim of this paper is to review the latest research progress of AI technology in assisted reproduction. This article will explore the effects of its application in sperm screening, embryo selection and pregnancy prediction, and propose directions for future research to provide references for clinical practice, thereby promoting the further application of AI technology in assisted reproduction.
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