提高人工智能用于精子选择的辅助生殖技术的结果
Nicole Lustgarten Guahmich1, Elena Borini1, Nikica Zaninovic1
1Ronald O. Perelman and Claudia Cohen Center for Reproductive Medicine, Weill Cornell Medicine, New York, New York.
Fertility and sterility
|June 12, 2023
概括
人工智能 (AI) 工具用于在细胞内质精子注射 (ICSI) 中选择精子,有望改善结果. 然而,它们对辅助生殖技术周期中实际怀孕率的影响需要进一步的临床验证.
科学领域:
- 生殖医学是一种生殖医学.
- 医学技术 医学技术 医学技术
- 医疗保健中的人工智能
背景情况:
- 辅助生殖技术 (ART) 旨在提高受孕率.
- 人工智能 (AI) 越来越多地被探索以加强ART程序.
- 精子评估和选择是细胞内质精子注射 (ICSI) 的关键步骤.
研究的目的:
- 在ICSI中审查基于人工智能的精子选择工具的开发.
- 评估这些人工智能工具在改善受精结果和减少程序变化方面的潜力.
- 确定人工智能驱动精子选择对ART妊娠率的确定的临床益处.
主要方法:
- 关于人工智能算法的最新进展的审查,用于实时的精子跟踪和排名.
- 对研究AI应用在ICSI精子选择中的研究进行分析.
- 评估与受精率和程序一致性相关的报告结果.
主要成果:
- 在开发人工智能算法方面取得了重大进展,用于在ICSI期间实时分析精子.
- 这些人工智能工具显示出提高精子选择准确性和一致性的潜力.
- 这些人工智能工具对每次ART周期的怀孕率的直接影响的数据目前有限.
结论:
- 基于人工智能的精子选择工具代表了ICSI的一个有前途的技术进步.
- 需要进行进一步的临床研究,以确定人工智能对辅助生殖中怀孕成功率的最终影响.
- 人工智能技术能力转化为改善临床怀孕结果仍然是未来研究的领域.
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