常规临床测试的MAIA平台:为胚胎学家提供人工智能胚胎选择工具
Mariana Nicolielo1, Catherine Kuhn Jacobs1, Bruna Lourenço1
1Embryology Department, Huntington Reproductive Medicine-Eugin Group, São Paulo, SP, Brazil.
Scientific reports
|September 1, 2025
概括
人工智能 (AI) 工具可以改善生育护理中的胚胎选择. 一种新的人工智能模型MAIA在预测巴西胚胎移植的临床怀孕时显示出70.1%的准确性.
科学领域:
- 生殖医学
- 医疗保健中的人工智能
- 胚胎学
背景情况:
- 在辅助生殖保健中减少多胎妊娠需要改进胚胎选择.
- 时间间隔化器增加了传统胚胎评估中的数据量和主观性.
- 需要客观,标准化的胚胎评估工具来支持临床决策.
研究的目的:
- 开发和评估一种人工智能 (AI) 模型,即形态人工智能辅助 (MAIA),用于巴西的胚胎选择.
- 评估MAIA在预测临床怀孕中的准确性.
- 为胚胎学家提供一个用户友好的实时胚胎评估工具.
主要方法:
- 通过大学和生育诊所的合作开发MAIA人工智能模型.
- 在1015个胚胎图像上训练人工智能模型.
- 在200个胚胎移植中对MAIA进行前性临床测试.
主要成果:
- 在临床测试中,MAIA的整体准确率为66. 5%.
- 对于选择性胚胎移植,MAIA在预测临床怀孕方面表现出70. 1%的准确性.
- 这种人工智能工具具有与胚胎学家的输入设计的用户友好的界面.
结论:
- MAIA AI模型为辅助生殖保健中的客观和标准化胚胎评估提供了一个潜在的解决方案.
- 像MAIA这样的基于人工智能的工具可以支持胚胎学家选择具有更高临床怀孕潜力的胚胎.
- 量身定制的人工智能解决方案可以在生育治疗中解决特定的人口和种族问题.
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