人工智能在辅助生殖控制性促排卵及预测妊娠结局的现状研究
Current Research on Artificial Intelligence in Controlled Ovarian Stimulation for Assisted Reproduction and Prediction of Pregnancy Outcomes
摘要: 近年来，辅助生殖技术飞速发展，越来越多的不孕夫妇借助这些技术实现了成功妊娠。人工智能(AI)是一项新兴技术，近年来与辅助生殖相结合，意在提高体外受精–胚胎移植(IVF-ET)标准化程度并改善临床结果。AI辅助IVF控制性促排卵研究在优化药物剂量和促排时间安排、预测妊娠结局等方面已有一些初步尝试并取得了一定的效果。本文回顾现有文献，旨在阐述AI在辅助生殖控制性促排卵及预测妊娠方面的技术应用，并探讨这些技术最终实现流程的标准化和改善临床结局的潜力。
Abstract: In recent years, assisted reproductive technologies have developed rapidly, and an increasing number of infertile couples have achieved successful pregnancies with the help of these technologies. Artificial intelligence (AI) is an emerging technology that has been combined with assisted reproduction in recent years, aiming to enhance the standardization of in vitro fertilization-embryo transfer (IVF-ET) and improve clinical outcomes. Some preliminary attempts have been made in the research of AI-assisted controlled ovarian stimulation in IVF, achieving certain results in optimizing drug dosages and stimulation timing, as well as predicting pregnancy outcomes. This article reviews the existing literature to elaborate on the technical applications of AI in controlled ovarian stimulation and pregnancy prediction in assisted reproduction, and to explore the potential of these technologies in ultimately standardizing the process and improving clinical outcomes.
文章引用：骆曼, 沈小力. 人工智能在辅助生殖控制性促排卵及预测妊娠结局的现状研究[J]. 临床医学进展, 2026, 16(4): 3750-3758. https://doi.org/10.12677/acm.2026.1641641

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