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胚胎学家和人工智能算法之间的胚胎排名协议.

Nikica Zaninovic1, Jose T Sierra2, Jonas E Malmsten1

  • 1Weill Cornell Medicine, Ronald O. Perelman and Claudia Cohen Center for Reproductive Medicine, New York, New York.

F&S science
|October 11, 2023
PubMed
概括

胚胎学家在排名胚胎质量方面表现出高度一致,明显高于人工智能 (AI) 算法. 一些人工智能模型表现不佳,协议水平与随机机会相比,突出了在生殖医学中进一步发展人工智能的需要.

科学领域:

  • 生殖医学和胚胎学
  • 医疗保健中的人工智能
  • 生物信息学和计算生物学

背景情况:

  • 胚胎排名对于成功的体外受精 (IVF) 结果至关重要.
  • 人工智能 (AI) 提供了客观胚胎评估的潜力.
  • 对人类专业知识进行AI性能评估对于临床采用至关重要.

研究的目的:

  • 为了比较人类胚胎学家和多个AI算法之间的胚胎质量排名协议.
  • 评估人工智能驱动胚胎选择方法的可靠性和一致性.
  • 识别AI性能中的潜在差异及其对试管婴儿的影响.

主要方法:

  • 100个试管婴儿周期的回顾性分析,其中至少有8个胚胎.
  • 由五位胚胎学家和八个人工智能算法使用时差视频和静态图像进行胚胎排名.
  • 肯德尔等级相关系数 (肯德尔的 τ) 用于衡量协议.

主要成果:

  • 胚胎学家之间的高度一致 (平均肯德尔的t = 0.70) 和胚胎学家内部的高度一致 (平均K-t = 0.78).
  • 胚胎学家和人工智能算法之间的一致性明显较低 (平均K-τ = 0.53) 和人工智能算法之间的一致性 (平均K-τ = 0.47).
  • 两个人工智能算法表现出非常低的一致性 (平均K-τ = 0.05),类似于随机机会.
关键词:
胚胎囊的分数得分胚胎排名排名 胚胎排名相互一致性 / 内部一致性排名一致性 排名一致性

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结论:

  • 这项研究是第一个比较人工智能和胚胎学家之间的胚胎排名协议.
  • 胚胎内和胚胎间的协议超过了人工智能胚胎学家和人工智能之间的算法协议.
  • 一些AI模型显示了与随机选择相比的协议水平,表明需要改进.