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Empathetic application of machine learning may address appropriate utilization of ART.
Reproductive BioMedicine Online ( IF 4 ) Pub Date : 2020-07-15 , DOI: 10.1016/j.rbmo.2020.07.005
Julian Jenkins 1 , Sheryl van der Poel 2 , Jan Krüssel 3 , Ernesto Bosch 4 , Scott M Nelson 5 , Anja Pinborg 6 , Mylene M W Yao 7
Affiliation  

The value of artificial intelligence to benefit infertile patients is a subject of debate. This paper presents the experience of one aspect of artificial intelligence, machine learning, coupled with patient empathy to improve utilization of assisted reproductive technology (ART), which is an important aspect of care that is under-recognized. Although ART provides very effective options for infertile patients to build families, patients often discontinue ART when further treatment is likely to be beneficial and most of these patients do not achieve pregnancy without medical aid. Use of ART is only in part dependent on financial considerations; stress and other factors play a major role, as shown by high discontinuation rates despite reimbursement. This commentary discusses challenges and strategies to providing personalized ART prognostics based on machine learning, and presents a case study where appropriate use of such prognostics in ART centres is associated with a trend towards increased ART utilization.



中文翻译:

机器学习的移情应用可以解决 ART 的适当利用。

人工智能对不孕症患者的价值是一个有争议的话题。本文介绍了人工智能、机器学习的一个方面的经验,再加上患者的同理心,以提高辅助生殖技术 (ART) 的利用率,这是未被充分认识的护理的一个重要方面。尽管 ART 为不孕症患者建立家庭提供了非常有效的选择,但当进一步治疗可能有益时,患者通常会停止 ART,并且这些患者中的大多数在没有医疗帮助的情况下无法怀孕。ART 的使用仅部分取决于财务方面的考虑;压力和其他因素起着重要作用,尽管报销了但中断率仍然很高。

更新日期:2020-07-15
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