从来没有失去的原因:当只有质量差的胚胎可用时,人工智能可以帮助胚胎学家吗?
Nina Gidel-Dissler1, Guillaume Canat1, Pierre Boyer2
1ImVitro, Paris, France.
Reproductive biomedicine online
|February 12, 2026
概括
人工智能 (AI) 系统EMBRYOLY帮助胚胎学家在没有好的选择的情况下选择可行的质量差的胚胎进行移植. 这种人工智能工具显示出与怀孕结果的显著关联,并可以提高生育治疗效率.
科学领域:
- 生殖医学 生殖医学
- 医疗保健中的人工智能
- 胚胎学 胚胎学
背景情况:
- 胚胎评估对于体外受精 (IVF) 成功至关重要.
- 高质量的胚胎的有限可用性在试管婴儿中构成了挑战.
- 需要客观的胚胎评估工具来支持临床决策.
研究的目的:
- 评估EMBRYOLY的有效性,一个AI系统,协助胚胎学家进行胚胎评估.
- 确定EMBRYOLY是否可以帮助识别可行的低质量的胚胎,在没有优质选择的情况下进行移植.
- 评估EMBRYOLY对临床怀孕和活产率的影响.
主要方法:
- 利用了来自15个诊所 (四个国家) 的15767个胚胎的2019-2024年的数据.
- 使用EMBRYOLY的基于变压器的模型来分析质量差的胚胎,并与胚胎学家的评估进行比较.
- 评估协议,怀孕结果和怀孕时间,比较EMBRYOLY推的质量差的胚胎与非质量差的胚胎.
主要成果:
- 胚胎学家在29%的病例中只遇到质量差的胚胎.
- 在66%的案例中,EMBRYOLY的顶级胚胎选择与胚胎学家一致.
- 恩布里奥利的得分与临床怀孕和活产有显著的相关性 (P < 0.001).
- 辅助使用EMBRYOLY可以将怀孕周期缩短19%,并将第一周期怀孕率提高65%.
- EMBRYOLY推的质量差的胚胎显示出与质量更高的胚胎相比,具有可比的怀孕潜力.
结论:
- 像EMBRYOLY这样的客观训练有素的人工智能可以有效地帮助胚胎学家选择可行的质量差的胚胎.
- 当高质量的胚胎无法转移时,这种人工智能援助特别有价值.
- 恩布里奥利证明了提高试管婴儿效率和成功率的潜力.
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