通过人工智能和图像处理技术的进步,协助生殖技术的创新
Dayong Lee1,2
1Department of Obstetrics and Gynecology, SMG-SNU Boramae Medical Center, Seoul, Korea.
Obstetrics & gynecology science
|November 7, 2025
概括
人工智能 (AI) 和先进的成像技术通过改善胚胎选择和卵巢监测来增强辅助生殖技术 (ART). 这些创新提供了客观的,可重复的评估,以获得更好的生殖医学结果.
科学领域:
- 生殖医学 生殖医学
- 生物医学成像技术 生物医学成像技术
- 人工智能的人工智能
背景情况:
- 传统的辅助生殖技术 (ART) 胚胎选择和卵巢监测方法依赖主观解释,导致变化.
- 人工智能 (AI) 在生殖医学中的临床决策中提供了增强的客观性,一致性和可重现性.
研究的目的:
- 探索人工智能和先进成像技术在生殖医学中的整合.
- 突出AI和光终身成像显微镜的潜力,以客观地评估胚胎和卵泡.
- 讨论AI在自动操作生殖健康监测中的应用.
主要方法:
- 利用人工智能增强的模型在胚胎选择和监测中提供一致的性能.
- 采用光终身成像显微镜实时,无标签地对子细胞和胚胎进行代谢评估.
- 开发使用智能手机兼容的超声波设备对卵巢卵泡进行人工智能驱动的自我评估工具.
主要成果:
- 人工智能模型显示,与传统方法相比,观察者之间的和观察者内部的变异性减少了.
- 来自光终身成像的代谢特征与胚胎发育能力相关,提供非侵入性质量评估.
- 人工智能促进了自动的卵泡细分和自我评估,改善了卵巢刺激跟踪和患者参与.
结论:
- 人工智能,先进的图像处理和代谢成像的整合代表了生殖医学的重大进步.
- 这些技术提高了胚胎和卵泡评估的精度.
- 结合临床,形态和代谢数据的多模式平台有望优化ART结果.
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