摘要人工智能（artificial intelligence，AI）技术有望辅助医生提升胚胎评估的准确性和效率。然而，胚胎发育是一个连续的动态过程，什么时段比较有意义？还是整个发育过程都需要考虑？部分研究团队采用静态图像分析丢失诸多重要信息；另一部分团队利用算法驱动的“黑盒”模型计算胚胎发育视频，解释性有限。机器学习及深度学习由于固有的复杂性易被滥用，为了更精准地应用AI，本文以AI预测人类胚胎整倍性为例讨论算法解释性的意义及临床价值。

abstractsArtificial intelligence (AI) technology is expected to assist physicians in improving the accuracy and efficiency of embryo assessment. However, embryo development is a continuous and dynamic process, when is meaningful or the whole development process need to be considered? Some research teams use static image analysis, which loses much important information, and others utilize algorithm-driven applications of "black-box" models to analyse embryo videos, which have limited their interpretability or explainability. Machine learning or deep learning is prone to abused due to its inherent complexity, and in order to apply AI more accurately, this paper discusses the clinical implications of algorithmic interpretations of AI in human embryo ploidy prediction.