Blastocyst grading is known to be highly subjective and without the use of time-lapse can result in an incorrect evaluation of collapsed or partially collapsed blastocysts. Artificial intelligence has the potential to make processes in IVF more precise, consistent and efficient in the future. This paper1 describes how deep learning (a subset of artificial intelligence) was used to design an algorithm to enable fully automatic grading of ICM and TE quality from time-lapse images. A similar approach has been used to estimate morphokinetic timings and PN count.
No one can argue against the value of high-quality, correctly designed, appropriately powered, multicentre prospective RCTs (or even better systematic reviews of a number of such studies) as the ideal mechanism to generate evidenced-based medicine. But I’m afraid the assisted conception world is far from ideal in this respect and high-quality studies are notoriously difficult to carry out. Unfortunately, some might consider this the situation with evidence in support of the EmbryoScope and morphokinetic embryo selection algorithms, although I’m not sure I’d entirely agree.
When working in an IVF lab there are different ways to assess embryos. You can score embryos using morphology and traditional grading, you can use preimplantation genetic testing (PGT) to get the genetic profiling of embryos prior to implantation, and finally you can analyse morphokinetic parameters of embryo development using time-lapse information. How do we bring together morphology, PGT and time-lapse to improve our embryo selection?
Since the early days of human IVF, the quality of an embryo has been based on morphological or developmental characteristics that are assessed at defined time-points. With the introduction of time-lapse technology, we are now able to get the full picture of the dynamic embryo development and make full use of the long-standing existing embryological knowledge. In this recorded webinar, Dr. Tine Qvistgaard Kajhøj will guide you through the benefits of streamlined embryo evaluation, how to perform it and how it helps you obtain improved results.
When evaluating the effect of time-lapse on clinical outcome, the technology should be considered as a full system combining the benefits of undisturbed embryo culture with the benefits of continually monitored embryo development and using the time-lapse information to make decisions about prioritising embryos for transfer and cryopreservation.
EmbryoScope time-lapse system is used in combination with preimplantation genetic testing at IVF Riga. Medical Director Dr. Violeta Fodina says that this makes it possible to select only the best embryos for genetic testing, thereby reducing the time to pregnancy and delivery of a child. Watch her story here.
During the Vitrolife Scientific Symposium at ESHRE 2017, we had the pleasure of listening to three international experts in the field of human IVF sharing their experience in laboratory management, morphokinetics and cryobiology. We are confident that information from these presentations will assist you in not only in improving your workflow, but will help you to maximise the success of each cycle of IVF performed.
Many clinics have seen the benefit of making time-lapse a standard of care for their patients. The same is true for Preimplantation Genetic Screening (PGS). The fact that there are two such widely implemented techniques has created some questions about which new technology will offer the best treatment options for improving clinical outcome. In this webinar Dr. Tine Qvistgaard Kajhøj shows how time-lapse and PGS can be used together to offer the best overall possibility for improving outcomes and clinical workflow.
Almost three decades ago, preimplantation genetic testing (PGT) was applied clinically for the first time by pioneers like Alan Handyside in the UK and Yuri Verlinsky in the US. Still, introducing this procedure can be a challenge. In this blog post you will get a practical guidance of what to consider when introducing PGT in your IVF clinic.