Nuffield Department of Women's & Reproductive Health, University of Oxford, Level 3, Women's Centre, John Radcliffe Hospital, Oxford, OX3 9DU, England.
IVF 2.0 Ltd, School of Biosciences, University of Kent, Canterbury Campus, Kent, England.
Reprod Sci. 2023 Apr;30(4):1006-1016. doi: 10.1007/s43032-022-00941-y. Epub 2022 Aug 3.
In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IVF procedures are currently limited by accessibility, affordability and most importantly multistep, labour-intensive, technically challenging processes undertaken by skilled professionals. Therefore, in order to sustain the exponential demand for IVF on one hand, and streamline existing processes on the other, innovation is essential. This may not only effectively manage clinical time but also reduce cost, thereby increasing accessibility, affordability and efficiency. Recent years have seen a diverse range of technologies, some integrated with artificial intelligence, throughout the IVF pathway, which promise personalisation and, at least, partial automation in the not-so-distant future. This review aims to summarise the rapidly evolving state of these innovations in automation, with or without the integration of artificial intelligence, encompassing the patient treatment pathway, gamete/embryo selection, endometrial evaluation and cryopreservation of gametes/embryos. Additionally, it shall highlight the resulting prospective change in the role of IVF professionals and challenges of implementation of some of these technologies, thereby aiming to motivate continued research in this field.
体外受精(IVF)估计在全球范围内促成了超过 900 万名婴儿的诞生,这使得它成为最有趣、商品化和工业化的现代医学干预手段之一。然而,大多数 IVF 程序目前受到可及性、可负担性以及最重要的多步骤、劳动密集型、技术挑战性的限制,这些过程需要熟练的专业人员来完成。因此,为了满足 IVF 的指数级需求,同时简化现有的流程,创新是必不可少的。这不仅可以有效地管理临床时间,还可以降低成本,从而提高可及性、可负担性和效率。近年来,在整个 IVF 途径中出现了多种技术,其中一些技术与人工智能相结合,这些技术有望在不久的将来实现个性化,至少实现部分自动化。这篇综述旨在总结自动化技术的快速发展状态,包括人工智能的整合和不整合,涵盖患者治疗途径、配子/胚胎选择、子宫内膜评估以及配子/胚胎的冷冻保存。此外,它还将突出显示 IVF 专业人员角色的预期变化以及其中一些技术实施的挑战,从而旨在激发该领域的持续研究。