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Artificial intelligence in the fertility clinic: status, pitfalls and possibilities
Human Reproduction ( IF 6.0 ) Pub Date : 2021-06-23 , DOI: 10.1093/humrep/deab168
M A Riegler 1 , M H Stensen 2 , O Witczak 3 , J M Andersen 3 , S A Hicks 1, 4 , H L Hammer 1, 4 , E Delbarre 3 , P Halvorsen 1, 4 , A Yazidi 4 , N Holst 2 , T B Haugen 3
Affiliation  

In recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively used in medical practice and may become a promising tool to improve success rates with ART. AI models may compensate for the lack of objectivity in several critical procedures in fertility clinics, especially embryo and sperm assessments. Various models have been developed, and even though several of them show promising performance, there are still many challenges to overcome. In this review, we present recent research on AI in the context of ART. We discuss the strengths and weaknesses of the presented methods, especially regarding clinical relevance. We also address the pitfalls hampering successful use of AI in the clinic and discuss future possibilities and important aspects to make AI truly useful for ART.

中文翻译:

生育诊所中的人工智能:现状、陷阱和可能性

近年来,ART领域产生的数据量呈指数级增长。数据的多样性很大,从视频到表格数据。与此同时,人工智能 (AI) 逐渐在医疗实践中得到应用,并可能成为提高 ART 成功率的有前途的工具。人工智能模型可以弥补生育诊所几个关键程序缺乏客观性,尤其是胚胎和精子评估。已经开发了各种模型,尽管其中一些模型表现出良好的性能,但仍有许多挑战需要克服。在这篇评论中,我们介绍了最近在 ART 的背景下对 AI 的研究。我们讨论了所提出方法的优点和缺点,特别是在临床相关性方面。
更新日期:2021-06-23
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