使用人工智能的胎儿面部表情变化的特征:试点研究.
Yasunari Miyagi1,2, Toshiyuki Hata3, Takahito Miyake4,3
1Department of Obstetrics and Gynecology, Miyake Ofuku Clinic, 393-1 Ofuku, Minami ward, Okayama city, Okayama prefecture, 701-0204, Japan. ymiyagi@mac.com.
Scientific reports
|November 29, 2025
概括
人工智能 (AI) 对胎儿面部表情的分析揭示了不同的模式和持续时间,这表明有可能间接评估胎儿大脑活动. 这项研究为产前发育和神经评估提供了新的见解.
科学领域:
- 产前医学产前医学
- 神经科学是一个神经科学.
- 人工智能的人工智能
背景情况:
- 胎儿面部表情为神经发育提供了潜在的见解.
- 量化这些表达式及其动态是具有挑战性的.
研究的目的:
- 使用人工智能调查胎儿面部表情的频率,变化和混乱的相关性维度.
- 探索从这些表达方式推断胎儿大脑活动的潜力.
主要方法:
- 应用了一种新的AI算法,从57,208个视频 (95.27分钟) 中对胎儿面部表情进行分类.
- 分析了从28周到37周之间的47个单独怀孕的数据.
- 研究了0.1秒间隔的表达时间,过渡和相关维度.
主要成果:
- 观察到表达持续时间的显著差异,中性和口腔表达持续时间明显更长.
- 最长的过渡时间记录在中性表达和口腔表达之间 (2,237.5秒).
- 中位相关度尺寸在中性和口腔表达式发生之前,期间和之后各不相同.
结论:
- 对胎儿面部表情的AI分析可能提供一种间接量化胎儿大脑活动的方法.
- 这种方法有可能对胎儿大脑活动进行定性和定量推断,并具有重要的生物学影响.
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