人工智能在精子质量分析与精子优选中的应用  

Application of Artificial Intelligence in Sperm Quality Analysis and Sperm Screening

作　　者：庞霁芸 侯苇 农玉翔 边昂[4] 许文明[5] PANG Jiyun;HOU Wei;NONG Yuxiang;BIAN Ang;XU Wenming(West China School of Medicine,Sichuan University,Chengdu 610041,China;Chengdu Puhua Technology Co.,Ltd,Chengdu 610065,China;College of Software Engineering,Sichuan University,Chengdu 610065,China;College of Computer Science,Sichuan University,Chengdu 610065,China;West China Second University Hospital,Sichuan University,Chengdu 610041,China)

机构地区：[1]四川大学华西临床医学院,成都610041 [2]成都朴华生物技术有限公司,成都610065 [3]四川大学软件学院,成都610065 [4]四川大学计算机学院,成都610065 [5]四川大学华西第二医院,成都610041

出　　处：《四川大学学报（医学版）》2024年第5期1322-1328,共7页Journal of Sichuan University(Medical Sciences)

基　　金：四川省自然科学基金(No.2023NSFSC1409)资助。

摘　　要：不孕不育是全球健康的一个重要议题,越来越多的人希望通过辅助生殖技术实现生育。然而,在受精及妊娠结局方面仍然存在诸多挑战。精子质量是影响辅助生殖成功率的关键因素,因此,精子质量的筛选对辅助生殖技术的突破至关重要。目前,人工智能凭借其在图像识别领域的能力,为精子筛选提供了新的思路与方法。基于人工智能的模型已经在精子形态、DNA质量及运动水平等指标的评估中进行了多项尝试,并有了一定的成果。本研究针对人工智能在精子质量分析及精子优选中的应用情况进行综述,以期为未来人工智能的进一步发展,从而改善辅助生殖技术的受精率和结局提供基础。Infertility is a global health issue,and more and more people are hoping to have babies by means of assisted reproductive technology.However,there are still many challenges in fertilization and pregnancy outcomes.Sperm quality is a key factor affecting the success rate of assisted reproduction.Therefore,sperm quality screening is crucial for achieving breakthroughs in assisted reproduction technology.At present,with its capabilities in the field of image recognition,artificial intelligence(AI)is providing new ideas and methods for sperm screening.Various attempts have been made with AI-based models to evaluate indicators such as sperm morphology,DNA quality,and motility level,and some results have been achieved.Herein,we reviewed the application of AI in sperm quality analysis and selection,providing support for the future development of AI and the improvement in the fertilization rate and outcomes of assisted reproductive technology.

关 键 词：精子筛选 人工智能 男性生育力 综述 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R698.2[自动化与计算机技术—控制科学与工程]