The main goal of assisted reproductive technology (ART) is to achieve a healthy singleton live birth after the transfer of one embryo. A major objective of IVF scientists has always been to use adequate criteria for selecting the embryo for transfer according to its implantation potential. Indeed, embryo quality is usually assessed by evaluating visual morphology, which relies on the removal of the embryo from the incubator and might include inter- and intra-evaluator variation among embryologists. Recently, an advancement in embryo culture has taken place with the introduction of a new type of incubator with an integrated time-lapse monitoring system, which enables embryologists to analyse the dynamic events of embryo development from fertilization to blastocyst formation. This novel practice is rapidly growing and has been used in many IVF centres worldwide. Therefore, the main aim of this review is to present the benefits of time-lapse monitoring in a modern embryology laboratory; in particular, we discuss blastocyst collapse and morphometric blastocyst assessment, and analyse their association with embryo viability and implantation potential. In addition, we highlight preliminary studies involving artificial intelligence and machine learning models as non-invasive markers of clinical pregnancy.

辅助生殖技术（ART）的主要目标是在移植一个胚胎后实现健康的单胎活产。IVF 科学家的一个主要目标一直是根据其植入潜力使用适当的标准来选择胚胎进行移植。事实上，胚胎质量通常通过评估视觉形态来评估，这依赖于从孵化器中取出胚胎，并且可能包括胚胎学家之间和评估者之间的差异。最近，随着引入具有集成延时监控系统的新型孵化器，胚胎培养取得了进展，使胚胎学家能够分析胚胎发育从受精到胚泡形成的动态事件。这种新颖的做法正在迅速发展，并已在全球许多 IVF 中心使用。因此，本综述的主要目的是介绍现代胚胎学实验室中延时监测的好处；特别是，我们讨论了囊胚塌陷和形态测量囊胚评估，并分析了它们与胚胎活力和植入潜力的关系。此外，我们强调了将人工智能和机器学习模型作为临床妊娠的非侵入性标记的初步研究。