摘要
准确评估胚胎发育对于辅助生殖技术(ART)成功至关重要。传统方法多基于主观的胚胎形态学评估,缺乏客观性和实时性。时差成像技术(TLT)提供更稳定的培养环境,实现胚胎发育的动态监测,分析和建模不同发育时期的动态学参数,用于预测胚胎的植入潜力。然而,动态学参数通常需要人工标注,引入主观干扰,数据模型分析能力差异较大,与实际情况相差甚远,尤其在染色体整倍性分析方面表现较弱。随着人工智能(AI)的不断发展,TLT与AI的结合提供了减少TLT人工标注时间、提高胚胎植入率和染色体整倍性预测等方面的可能性。旨在探讨TLT结合AI在形态学和动态学参数方面对胚胎植入潜力和染色体整倍性的应用。
Accurate assessment of embryo development is of paramount importance for the success of Assisted Reproductive Technologies(ART).Traditional methods predominantly rely on subjective embryo morphological evaluations,lacking objectivity and real-time capabilities.Time-lapse Technology(TLT)offers a more stable incubation environment,facilitating dynamic monitoring of embryo development,analysis,and modeling of dynamic parameters during different developmental stages for predicting embryo implantation potential.However,dynamic parameters often require manual annotations,introducing subjective bias and exhibiting significant disparities in data modeling capabilities,deviating from real-world scenarios,especially in the analysis of chromosomal ploidy.With the continuous advancement of Artificial Intelligence(AI),the integration of TLT and AI holds promise in reducing manual annotation time in TLT,enhancing embryo implantation rates,and chromosomal ploidy prediction.This review aims to explore the application of TLT combined with AI in morphological and dynamic parameters for assessing embryo implantation potential and chromosomal ploidy.
作者
黄艳荣
李明颖
高梦莹
相立峰
晏家骢
李永刚
HUANG Yanrong;LI Mingying;GAO Mengying;XIANG Lifeng;YAN Jiacong;LI Yonggang(Medical school,Kunming University of Science and Technology,Kunming Yunnan 650500;Reproductive Medical Center,The 1st People’s Hospital of Yunnan Province,Kunming Yunnan 650032;NHC Key Laboratory of Periconception Health Birth in Western China,KunmingYunnan 650032,China)
出处
《昆明医科大学学报》
CAS
2024年第7期160-167,共8页
Journal of Kunming Medical University
基金
国家自然科学基金资助项目(82060282)
云南省妇产生殖疾病临床医学中心基金资助项目(2021LCZXXFSZ03)
云南省生殖妇产疾病临床医学中心开放课题(2022LCZXKF-SZ11)。
关键词
辅助生殖
时差成像技术
人工智能
胚胎种植潜能
胚胎整倍性
Assisted reproduction
Time-lapse imaging technology
Artificial intelligence
Embryo implantation potential
Embryo euploidy