Embryo decision support tools

Decision support tools scoring embryos according to their statistical viability by applying a number of criteria to the embryos.

Purpose Decision support tools to rank embryos according to their likelihood of implantation.

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16536 iDAScore

Description: Fully automated AI-based decision support tool for day 5 culture.
Purpose: AI Algorithm with automatic scoring of embryos, to improve workflow.
Disclaimer: Not for sale in US

16534 Guided Annotation

Description: Optional AI-based tool to streamline annotation process.

16622 EmbryoViewer Software

Description: EmbryoViewer Software version 7.X.

16531 KIDScore D3

Description: Embryo decision support tool software for Day 3 selection. KIDScore is a trademark of Vitrolife Group.

16532 KIDScore D5

Description: Upgrade for existing KIDScore D3. KIDScore is a trademark of Vitrolife Group.
Disclaimer: Not for sale in US

16533 KIDScore D3 + D5

Description: Embryo decision support tool software for Day 3 and Day 5 full package. KIDScore is a trademark of Vitrolife Group.
Disclaimer: Not for sale in US

iDAScore

AI based automated analysis

Guided Annotation

Data analysis

KIDScore

Decision support

iDAScore

iDAScore makes use of deep learning to provide fully automated analyses of developing embryos. Now you can get an objective ranking based on the likelihood of implantation of each of a patient´s embryos at once - at the touch of a button. The future of embryo evaluation begins here.

Automated analysis at your fingertips

iDAScore is simple and intuitive, with no manual export or import of images or videos required.

Get a glimpse of the iDAScore interface by watching the trailer.

AI scoring is not affected by

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Improved evaluation

Traditional embryo evaluation methods are prone to subjectivity and external factors. Experience level, time constraints and lab staffing may all affect evaluation of embryos. It has been shown that an embryologist may score the same blastocyst differently on separate occasions. ^1,2 iDAScore objectively “compares” a given embryo with other embryos that have similar development patterns, and generates a score correlating with the likelihood of implantation.

How iDAScore works

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Consistent

Consistent approach to embryo evaluation. Day to day differences in staffing, or introduction of new embryologists will not affect the way embryos are scored.

Objective

Objectively analyses the full embryo development sequence, without inherent human bias.

Fully automated

Analyses time-lapse sequences continuously, without the need for manual processing of data or videos.

Reliable

Provides a reliable ranking of a patient’s cohort of embryos. Embryos can be evaluated adjunctively with EmbryoViewer software or other well established scoring schemes.

A robust algorithm

iDAScore was trained and validated on a large and diverse dataset, resulting in a robust AI model that generalises well to clinics whose data was not included in the training process. Automatic embryo scoring by AI shows convincing results for all provided subgroups of data and can be expected to generalise well to all clinics.

iDAScore® - the future of AI-based embryo evaluation

Are you interested in learning more about how artificial intelligence can be used in IVF? Read this blog post by Dr. Tine Qvistgaard Kajhøj where she takes you through the evolution of Vitrolife’s AI-based tools for IVF.

Read blog post

Guided annotation

Data analysis

Advanced software

With EmbryoViewer software, you can review, annotate and compare development of selected embryos from data acquired by the EmbryoScope, EmbryoScope+, EmbryoScope 8 and EmbryoScope Flex. The same EmbryoViewer software can be used for the four types of incubators. The incubators’ running conditions are automatically stored with the patient data and can be observed on the EmbryoViewer software for quality assurance.

Intuitive annotation tools

With EmbryoViewer software, you can annotate cell division events, providing an easy overview of observations in developmental stages.

Improved basis for embryo selection

Use Guided Annotation in the EmbryoViewer software to efficiently get the parameters you need for embryo evaluation. Designed to provide a simplified annotation workflow.

KIDScore for efficient evaluation support

KIDScore™ decision support tools* assigns an objective score to each embryo. The scores reflect implantation potential and provide consistent and effective support for embryo evaluation. With Guided Annotation and KIDScore decision support tools you can customise to fit the workflow you like with the level of automatisation you prefer.

*KIDScore D5 has not received 510(k) clearance

Ensure consistent evaluation of embryos with Guided Annotation

With the extensive amount of image information acquired by the EmbryoScope time-lapse system, every stage of development of each embryo can be observed. Guided Annotation ensures that you collect exactly the amount and type of embryo development information that is necessary for you to evaluate which embryos are most suitable for transfer and/or freezing.

By implementing intelligent software tools and artificial intelligence, Guided Annotation makes embryo annotation fast, efficient and precise and allows you to have complete control of the level of automatisation. A confidence estimate allows you to automate annotations that have a high confidence level and prioritise validation of annotations with low confidence.

Eased workflow, efficiency and consistency

The Guided Annotation tool uses image analysis to guide you to likely timings for developmental events like division timings, morphology assessment and PN check. Simply validate or score the event by a single keyboard click.

Simplicity

Based on the annotation strategy, Guided Annotation automatically prompts you to annotate the selected variables. A continuous overview of the process is provided.

Efficiency

An efficient workflow is easily achieved by utilising customised annotation strategies in combination with the intuitive and ergonomics friendly keyboard shortcuts.

Consistency

Define an annotation strategy, or determine which predefined annotation strategy to use, and collect consistent and valuable information by all staff.

KIDScore

Decision support

Guided Annotation and KIDScore

Guided Annotation in synergy with KIDScore optimally supports your consistent embryo evaluation process.

Benefits of KIDScore

• Improves the decision-making process
• Enhances consistency
• Helps you obtain better results

KIDScore for transfer on Day 3 or Day 5

The KIDScore decision support tool is developed by analysing the world’s largest database of embryo development with known clinical outcome. The models are developed by analysing how embryo morphokinetics, cleavage patterns and morphology correlates with implantation outcome after transfer.

Principles of KIDScore D3

Benefits of KIDScore decision support tools

• Improved consistency of evaluation and lower interobserver variability⁵
• Uses ‘easy-to-annotate’ variables
• Based on Known Implantation Data (KID) from the day of transfer (Fetal heartbeat)
• A powerful tool when you have more embryos available than planned for transfer

KIDScore D3

When to use it
• When deciding between embryos that reach expected stage on day 3
• When D3 SET is preferred

How does it work?
KIDScore D3 assigns a morphokinetic score from 1-5 to your annotated embryos. The score from 1-5 is a relative measure of the implantation potential of the embryo. The following variables need to be annotated in accordance with specific guidelines: PN assessment, PN fading, time (t) to 2, 3, 4, 5 and 8 cells.

KIDScore D3 & implantation data
The chart represents unselected embryos, embryos chosen for transfer, implanted embryos and embryos resulting in a live birth from cycles where known outcome data is available. The distribution of embryos across score groups is shown. This indicates that there is excellent concordance between the model and embryos with high implantation potential.

KIDScore D5

When to use it?

• When more good quality blastocysts are available than are planned for transfer
• When deciding which embryos are suitable for biopsy or diagnosis

How does it work?

KIDScore D5* considers the morphology and the morphokinetic traits of an embryo. For each embryo the model calculates a continuous score from 1-9.9. The score reflects the statistical chance of implantation based on development information from the five-day culture period. The higher the score, the greater the statistical chance of implantation. Only a few annotations are required to obtain a score, which further improves the worfklow.

KIDScore D5 & implantation data
KIDScore D5 scores show an increased relative implantation with higher scores. The model is based on a large database of KID blastocysts originating from a wide range of IVF clinics.

*KIDScore D5 can only be used when culturing under reduced oxygen conditions

How can you benefit from time-lapse in IVF?

Dr. Markus Montag has written a white paper where he discusses the clinically proven results with time-lapse, as well as how time-lapse can improve the workflow in the lab and facilitate communication.

Download white paper

Watch our recorded Vitrolife webinars

Vitrolife Academy provides a wide range of webinars within the field of IVF. Our webinars are recorded and you can find our recorded webinars here, to watch at your convenienc.

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EmbryoScope 8 - optimal capacity to suit your clinics need

EmbryoScope 8 time-lapse system is designed to meet the needs of smaller clinics who want to enjoy the same great benefits of the EmbryoScope+ family of time-lapse systems.

Learn more

EmbryoScope+, making time-lapse standard of care

EmbryoScope+ is designed to meet the needs of clinics wishing to implement time-lapse as a standard of care to more of their patients.

Learn more

EmbryoScope Flex, ideal for mild stimulation & low responder patients

Expanding your possibilities to offer time-lapse as a standard of care to more patients.

Learn more

Educational material

Do you need support in how to use our products? Or do you want to increase your knowledge?

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References

1. Ergin, E.G. et al., (2014), Fertil Steril 102(4): 1029-1033 e1.
2. Data on file.
3. Rubio, I. et al., (2012), Fertil Steril 98(6): 1458-63.
4. Zhan, Q. et al., (2016) PLoS One 11(12): e0166398.
5. Sundvall, et al., (2013), Hum Reprod 28(12): 3215-21.