通过使用双AI系统预测植入,其中包括三维胚胎囊图像和传统胚胎评估参数-试点研究
Yasunari Miyagi1, Toshihiro Habara2, Rei Hirata2
1Medical Data Labo Okayama City Okayama Prefecture Japan.
Reproductive medicine and biology
|October 1, 2024
概括
一个新的双人工智能 (AI) 系统有效地预测了使用3D成像和传统胚胎评估的胚胎植入成功. 这种人工智能工具显示出改善临床试管婴儿结果的前景.
科学领域:
- 生殖医学是一种生殖医学.
- 医疗保健中的人工智能
- 胚胎学 胚胎学
背景情况:
- 辅助生殖技术 (ART) 依赖于精确的胚胎评估来成功植入胚胎.
- 传统的胚胎评估 (CEE) 参数在预测试管婴儿成功方面存在局限性.
- 像3D重建这样的先进成像技术为胚胎分析提供了新的可能性.
研究的目的:
- 评估双人工智能 (AI) 系统用于预测胚胎细胞植入的有效性.
- 将3D重建图像与CEE参数集成,以提高预测准确度.
- 评估开发的双AI系统的临床可行性.
主要方法:
- 开发了一种双重的人工智能系统:第一个人工智能处理了从断层扫描胚胎细胞图像中删除背景,第二个人工智能预测了植入成功.
- 数据包括2022年6月至2023年7月期间收集的977例 (458例植入,519例非植入) 的10747张断层脑囊细胞图像.
- 人工智能系统使用了3D重建图像和传统胚胎评估 (CEE) 参数,包括母亲的年龄.
主要成果:
- 双AI系统实现了0.774 ± 0.033.3的特征曲线下的面积.
- 敏感性,特异性,正预测值,负预测值和准确性分别为0.727,0.719,0.727,0.719和0.723.
- 这些结果证明了该系统在处理3D数据和CEE信息以进行植入预测方面的能力.
结论:
- 双人工智能系统在预测胚胎细胞植入成功方面证明是有用的.
- 人工智能系统整合3D成像和CEE数据显示出巨大的潜力.
- 双AI系统代表了在试管婴儿实践中临床应用的可行选择.
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