人工智能辅助的选择性修饰自然冷胚胎转移.
Michal Youngster1, Nevo Itzhak2, Eden Moran2
1IVF Unit, Department of Obstetrics and Gynecology, Shamir Medical Center, Zerifin, Israel.; Faculty of Medical and Health Sciences, Tel Aviv University, Tel-Aviv, Israel..
Reproductive biomedicine online
|November 27, 2025
概括
人工智能算法可以通过选择性触发排卵来帮助避免在诊所关闭的日子里冷胚胎转移. 这种人工智能工具尽量减少非工作日的转移,同时为大多数患者保留自然循环的好处.
科学领域:
- 生殖内分泌学 生殖内分泌学
- 人工智能在医学中的应用
- 在体外受精过程中受精.
背景情况:
- 自然周期冷胚胎移植 (NC-FET) 是一种常见的试管婴儿手术.
- 在诊所非工作日安排FET带来了后勤挑战.
- 优化FET安排对于患者的方便和诊所效率至关重要.
研究的目的:
- 评估人工智能 (AI) 算法用于NC-FET中的选择性触发.
- 确定人工智能能否能够防止在不必要的诊所关闭日内进行胚胎移植.
- 评估人工智能引导触发对循环灵活性和自然循环保护的影响.
主要方法:
- 4029个FET周期的回顾性队列研究.
- 利用一个人工智能算法,结合一个排卵预测模型 (LH,雌激素,孕,卵泡大小).
- 算法建议只有当自然排卵预测在非工作日转移时才触发.
主要成果:
- 人工智能算法识别了~40%的需要干预的周期,以避免非工作日转移.
- 在89%的干预周期中,排卵转移为2天或更短.
- 该算法在96%的非干预周期中准确地预测了自然排卵.
结论:
- 选择性修改的NC-FET算法可以最大限度地减少非工作日的转移.
- 人工智能方法允许灵活性,同时保持自然循环的优势.
- 这种人工智能工具可以提高NC-FET实践的效率和便利性.
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