KIDScore D3

by Vitrolife A/S  · Based in Sweden → — AI-powered decision support for Day 3 embryo selection in IVF.
Obstetrics & Gynecology
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Regulatory Status Disclosed

Overview

KIDScore D3 is an AI-based decision support tool developed by Vitrolife A/S, designed to assist embryologists in selecting embryos with the highest implantation potential for In Vitro Fertilization (IVF) treatments. It integrates with Vitrolife’s EmbryoScope and EmbryoViewer software, utilizing morphokinetic data from time-lapse imaging of embryos. The tool assigns a score from 1 to 5 to annotated Day 3 embryos, with higher scores indicating a statistically greater chance of implantation. KIDScore D3 operates as an ‘avoidance model,’ helping clinics identify and avoid transferring embryos with a low statistical probability of implanting. This system is built upon a large database of Known Implantation Data (KID), analyzing morphokinetic traits, cleavage patterns, and morphology to correlate with implantation outcomes. By providing objective and consistent evaluation support, KIDScore D3 aims to improve the decision-making process, enhance consistency in embryo assessment, and ultimately contribute to better IVF outcomes.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Morphokinetic scoring (1-5) for Day 3 embryos
  • Decision support for embryo selection
  • Utilizes Known Implantation Data (KID) database
  • Integrates with EmbryoScope and EmbryoViewer software
  • Avoidance model to identify low implantation potential embryos
  • Improves consistency and reduces interobserver variability in embryo assessment
  • Analyzes morphodynamic characteristics (tPNf, t2, t3, t5, t8)
  • FDA 510(k) cleared for clinical use
  • Aids in predicting likelihood of blastocyst development

Use Cases

  • Selecting embryos for transfer on Day 3
  • Selecting embryos for freezing on Day 3
  • Deciding on continued embryo development post Day 3
  • Supporting embryologists when multiple embryos are deemed suitable
  • Improving overall IVF success rates by optimizing embryo selection

What Physicians Need to Know

LIS/LIMS Integration
KIDScore D3 functions as an optional accessory to Vitrolife's EmbryoViewer software, which centralizes data from multiple EmbryoScope time-lapse incubators on a dedicated server. Calculations for KIDScore D3 are performed on the ES Server software.
Supported Assay Types
This tool is specifically designed for Day 3 embryo selection in IVF and ICSI treatments, evaluating morphokinetic data and characteristics of embryonic development. It utilizes manually annotated variables such as pronuclei (PN) assessment, PN fading, and time to specific cell divisions (t2, t3, t4, t5, t8). It predicts the likelihood of embryos developing to the blastocyst stage.
QC/QA Features
The system automatically stores full documentation of incubator running conditions with patient data, viewable on the EmbryoViewer workstation for quality assurance. The underlying algorithm was developed using a large, multicenter dataset, and its safety and effectiveness were validated in a prospective clinical study. Vitrolife provides training and support for proper use.
Result Interpretation AI
KIDScore D3 is an AI-assisted decision support tool that assigns a morphokinetic score (1-5) to annotated embryos, indicating their relative implantation potential. It operates as an 'avoidance model,' identifying embryos with a statistically low chance of implantation by comparing annotated parameters to established model criteria.
Critical Value Alerts
The scoring system inherently highlights embryos with statistically poor implantation potential (lower scores, e.g., 1 or 2), effectively flagging them for avoidance. A score of 1 suggests initial development was too fast or direct cleavage, while a score of 2 indicates very slow development.
Instrument Interfaces
KIDScore D3 is exclusively used with Vitrolife's EmbryoScope and EmbryoScope+ time-lapse incubator systems, integrating with the EmbryoViewer software that displays and compares images generated by these incubators.
Reference Range Intelligence
The algorithm is built upon the world's largest database of Known Implantation Data (KID), derived from a multicenter analysis of over 3,300 transplanted and implanted Day 3 embryos. This allows clinics to utilize the tool immediately without needing to generate their own baseline data.
Turnaround Time Impact
KIDScore D3 provides automatic scoring of morphokinetic data in a fraction of a second, significantly improving the efficiency of the embryo selection process and reducing the time embryologists spend on initial screening and ranking.
Physician Tip

KIDScore D3 serves as a powerful decision support tool, but it is crucial to remember it is an adjunct, not a replacement, for the embryologist's expertise. Utilize its morphokinetic scoring to identify embryos with statistically low implantation potential, guiding decisions on which embryos to avoid. Always integrate the AI-generated scores with comprehensive morphological assessment and your clinical judgment, especially when comparing embryos with similar scores. The continuous monitoring provided by the integrated time-lapse system offers valuable dynamic insights.

KIDScore D3 is tightly integrated within the Vitrolife ecosystem, specifically with the EmbryoScope time-lapse incubator systems and the EmbryoViewer software. Data from multiple incubators are centralized on an ES Server, facilitating a unified workflow. While KIDScore D3 itself focuses on embryo assessment, Vitrolife also offers eWitness, an error prevention system that can integrate with existing Electronic Medical Records (EMR) systems, potentially streamlining overall IVF lab data management.

Details

Category Lab & Diagnostics, OB/GYN AI
Pricing Contact for pricing
DeploymentSoftware accessory to EmbryoViewer, used in conjunction with EmbryoScope and EmbryoScope+ time-lapse incubator systems.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

KIDScore D3 received FDA 510(k) clearance (K182798) on July 19, 2019. It is classified as an Embryo Image Assessment System, Assisted Reproduction (Product Code PBH) and provides adjunctive information for selecting embryos for transfer, freezing, or continued development.
Integrations
EHR Not specified
Specialties Obstetrics & Gynecology

What the Web Says

KIDScore D3 is an AI-driven decision support tool used in In Vitro Fertilization (IVF) to help embryologists assess the viability of Day 3 embryos. It analyzes morphokinetic data from embryos cultured in EmbryoScope time-lapse incubators, assigning a score (1-5) that reflects the embryo's implantation potential. The tool aims to improve IVF success rates by aiding in the selection of embryos for transfer, freezing, or further development.

Overall: Mixed

Strengths

  • AI-driven decision support for embryo selection.
  • Analyzes morphokinetic data from time-lapse incubators.
  • Provides a score (1-5) indicating implantation potential.
  • Can be used immediately without clinics needing to collect their own data.
  • Superior to standard morphology for Day 3 embryos in predicting live births.
  • Helps standardize embryo evaluation, especially for less experienced embryologists.

Limitations

  • Not the most prioritized information if PGT testing is performed.
  • Some Reddit users question its necessity when PGT testing is done, citing additional cost.
  • A Cochrane review failed to find a clear distinction between live birth rates from time-lapse monitoring and conventional morphological assessment.
  • Designed to predict implantation potential, not live birth rate.
  • May penalize Day 6 embryos if using a Day 5-centric model like KIDScore D5, potentially not reflecting true viability.
  • No significant difference in KIDScore D3 observed in embryos from patients with and without endometriosis.

Based on reviews from: HealthAidb, Vitrolife (vitrolifegroup.com), Zygote (Journal), PubMed, PMC (PubMed Central), Reddit, FDA (accessdata.fda.gov), Springer Medizin

Last updated: 2026-07-20

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Press & Coverage

FertilityIn
Future of IVF Technology Transforming Lab Accuracy - FertilityIn
This article discusses how AI, automation, and digital systems like KIDScore D3 are redefining fertility care by enhancing transparency, reducing human error, and improving clinical outcomes in IVF laboratories. KIDScore D3 is applicable to day-3 transfer protocols, offering morphokinetic decision support for embryo selection.
2026-04
PMC
Current Developments from Silicon Valley u2013 How Artificial Intelligence is Changing Gynecology and Obstetrics - PMC
This peer-reviewed article highlights KIDScore D3 as one of the few AI-based medical products in gynecology and obstetrics to have successfully passed FDA approval. It supports reproductive medicine specialists by providing prognoses on embryo development probability based on statistical viability.
2024-12
Zygote
The KIDScoreu2122 D3 scoring system contributes to the prediction of embryonic development potential: A promising tool for screening high-quality embryos | Zygote
This study found that the KIDScore D3 scoring system correlates with the developmental potential of embryos and can be a predictive tool for screening high-quality day 3 embryos. The algorithm was developed with a large multicenter dataset and is based on morphodynamic characteristics.
2022-03
BioWorld
Fairtility's AI-based system outperforms experts in selection of implantable embryos for IVF
This article discusses how Fairtility's CHLOE system, an AI-trained embryo classification system, outperformed both manual assessments and commercial systems like KIDScore D3 in selecting the best embryos for IVF implantation. The CHLOE system uses time-lapse incubation imaging for early embryo evaluation.
2022-04
PMC
Morphokinetic analysis of early human embryonic development and its relationship to endometriosis resection: a retrospective time-lapse study using the KIDScoreu2122 D3 and D5 implantation data algorithm - PMC
This study utilized KIDScore D3 and D5 to analyze embryo quality in relation to endometriosis resection, noting that KIDScore D3 is based on six annotations and provides a continuous score from 1 to 5 for implantation probability. The study found no significant differences in KIDScore D3 between patient groups with and without endometriosis.
2023-05
PMC
Deep-learning model for embryo selection using time-lapse imaging of matched high-quality embryos - PMC
This article discusses a deep-learning model for embryo selection that was compared to the KIDScore D3 system. It mentions that embryos were scored by the KIDScore D3 v1.2 algorithm and that the deep-learning model outperformed KIDScore D3 in predicting implantation.
2025-08
Innolitics
KIDScore D3 (K182798) u2014 FDA 510(k) | Innolitics
This regulatory announcement confirms the FDA 510(k) Premarket Notification for KIDScore D3 (K182798) from Vitrolife A/S. It indicates that the KIDScore D3 tool provides decision support for predicting the likelihood of embryos developing to the blastocyst stage.
2019-07
Oxford Academic
Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3 - Oxford Academic
This article details the development of the KIDScore D3 algorithm, based on morphokinetic information from embryo culture up until Day 3, to predict the implantation potential of embryos. The algorithm, based on six annotations, provides a ranking from 1 to 5, with a seven-fold difference in implantation potential between Score 1 and Score 5.
2016-09

Videos

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Frequently Asked Questions

KIDScore D3 is a decision support tool used in IVF with time-lapse incubators to help embryologists select day 3 embryos. It assigns a score from 1 to 5 based on morphokinetic parameters, indicating the embryo's statistical likelihood of developing to the blastocyst stage and its implantation potential. This tool functions as an 'avoidance model,' designed to identify and help clinics avoid transferring embryos with low implantation potential.
KIDScore D3 has received FDA clearance (K182798) as an optional accessory to the EmbryoViewer software used in EmbryoScope+ incubators. As a medical device, it must comply with regulations including registration, listing, labeling, and medical device reporting. The software verification and validation testing met the requirements of the FDA Guidance Document for software in medical devices.
KIDScore D3 is specifically designed for day 3 embryo transfers in standard incubation conditions for ICSI and IVF treatments. It is not suitable for treatments where the embryo's status is evaluated by biopsy or other disruptive procedures during the culture period. Additionally, while it aids in selection, it should be used as an adjunct to traditional morphological assessment, not as a standalone replacement.
Alternatives to KIDScore D3 include traditional morphological grading of embryos, which relies on visual assessment by embryologists. Other AI-based tools exist, such as KIDScore D5 for day 5 embryos, and the fully automated iDAScore, which uses a 3D convolutional neural network for embryo analysis and scoring.
The cost of KIDScore D3 can vary, but one clinic lists it as an 'if ordered' cost of $1,245. It is typically an add-on or accessory to time-lapse incubator systems like the EmbryoScope. Specific pricing may depend on the vendor, licensing agreements, and whether it's part of a larger system package.
Clinical studies indicate that KIDScore D3 is informative for predicting blastocyst outcome and can improve an embryologist's ability to select embryos for transfer compared to morphology alone. The system has been validated for day 3 transfers across various clinics and is based on morphokinetic information from a large dataset of embryos with known implantation status.
KIDScore D3 is based on a model developed from a large multicenter dataset, aiming to identify broad statistical patterns for embryo development. The model focuses on 'avoidance criteria' to assign lower scores to embryos with statistically lower implantation probabilities, rather than solely selecting for high potential. While the specific algorithm details are proprietary, its validation studies and regulatory clearances provide a level of transparency regarding its performance and intended use.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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