With VIOLET™ AI-based reports, you gain personalized egg quality insights to help you better understand your likelihood of success with the eggs you’ve frozen.
The problem with using statistics is that it assumes that all patients in the same age group have the same egg quality. This just isn’t realistic, as everyone has their own unique health factors. Our research has shown variability in egg quality even within the same cycle of one patient.
Each VIOLET™ report contains:
✓ A record of the number of eggs that you’ve frozen
✓ Each egg’s probability of becoming a blastocyst (day 5 or 6 embryo)
✓ A personalized prediction of your overall chance of live birth*
✓ Images of your eggs
VIOLET™ reports provide you with valuable take-home documentation of your frozen eggs + predictions to refer to when you use your eggs in the future.
Online egg calculators provide general estimates of pregnancy success (a.k.a. Live Birth) based on your age and the number of eggs you freeze.
This assumes that all people of the same age are expected to have the same health status and outcomes, and that all eggs from one person are of equal quality.
While statistics can be helpful, they need to be taken in context with individual scenarios. Our egg quality assessment tool can help add that context, bringing in personalized information based on your unique eggs.
VIOLET™ can calculate personalized predictions of success because it analyzes images of your eggs through our artificial intelligence-powered software.
Our software has analyzed over 100,000 egg images and their outcomes to learn patterns that help predict if your egg will become a healthy embryo (blastocyst).
AI is able to detect details within the images that are invisible to the human eye, which is why our technology can predict blastocyst outcomes more accurately than embryologists.1
* based on your personal egg quality assessment & statistical modelling
REFERENCE: 1. Nayot D, Meriano J, Casper R, Krivoi A. 2020. An oocyte assessment tool using machine learning; Predicting blastocyst development based on a single image of an oocyte. 36th Annual Meeting of ESHRE – Copenhagen. https://futurefertility.com/wp-content/uploads/2022/11/ESHRE-2020-FF-Oocyte-assessment-tool-using-machine-learning-Predicting-blastocyst-development-based-on-oocyte-image.pdf.