Embryologist versus AI in embryo selection: agreement and impact on pregnancy rates.

IF 1.7 4区 生物学 Q4 CELL BIOLOGY
Yael Harir, Rona Halevy Amiran, Yuval Or
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引用次数: 0

Abstract

Can artificial intelligence match or even outperform experienced embryologists in embryo selection for IVF transfer? To explore this question, we conducted a retrospective cohort study of 82 IVF cycles comparing embryo selections by an embryologist and AI (iDAscore), analyzing pregnancy outcomes. Embryologist and AI agreed in 64.6% of cases. Pregnancy rates were 45.2% in concordant vs. 44.8% in discordant selections (p > 0.05). AI-based embryo selection aligns closely with human judgment and may aid IVF decision-making. Larger studies are needed to confirm clinical utility.

胚胎学家与人工智能在胚胎选择中的对比:一致性和对怀孕率的影响。
人工智能在试管婴儿移植的胚胎选择方面是否可以匹配甚至超过有经验的胚胎学家?为了探讨这个问题,我们对82个IVF周期进行了回顾性队列研究,比较了胚胎学家和AI (iDAscore)的胚胎选择,分析了妊娠结局。胚胎学家和人工智能在64.6%的病例中是一致的。选择一致组的妊娠率为45.2%,选择不一致组的妊娠率为44.8% (p < 0.05)。基于人工智能的胚胎选择与人类的判断密切相关,可能有助于试管婴儿的决策。需要更大规模的研究来证实临床应用。
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来源期刊
CiteScore
3.70
自引率
4.80%
发文量
96
审稿时长
3 months
期刊介绍: In Vitro Cellular & Developmental Biology - Animal is a journal of the Society for In Vitro Biology (SIVB). Original manuscripts reporting results of research in cellular, molecular, and developmental biology that employ or are relevant to organs, tissue, tumors, and cells in vitro will be considered for publication. Topics covered include: Biotechnology; Cell and Tissue Models; Cell Growth/Differentiation/Apoptosis; Cellular Pathology/Virology; Cytokines/Growth Factors/Adhesion Factors; Establishment of Cell Lines; Signal Transduction; Stem Cells; Toxicology/Chemical Carcinogenesis; Product Applications.
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