Explainable AI Embryo Assessment
Artificial Intelligence Assisted Embryo Selection
Better Outcome
Clinically proven to significantly improve implantation rate (80.87% vs 68.15%) . Published in RBMO Dec 2023, Volume 47, Issue 6.
Easy-to-use
Web based user interface designed for easy access. Multiple users to operate at the same time without additional software installation.
Secure & Reliable
Works on standalone AI box to ensure data security. R&D, production follow ISO-13485 and other quality management systems.
Versatile
Works with a growing list of widely used incubators, such as ASTEC CCM-iBIS, Vitrolife EmbryoScope, ESCO MIRI, etc.
Safe and Explanable Artificial Intelligence
Manual evaluations of embryo quality have significant issues with subjectivity and consistency. AI can help to avoid such errors and reduce work loads of embryologists.
From the ethical and legal perspective, physicians are ultimately responsible for embryo selection results. Therefore, a transparent and explanable AI model must be adopted, if AI is to assist embryo selection.
Quality Assessment during the Blastocyst Stage
Based on the morphological features, quantitative evaluation of blastocyst characteristics is conducted on the Day 5, and the blastocyst quality of the same patient is scored and ranked.
Quality Assessment during the Cleavage Stage
Assess Day 3 embryo quality and predict developmental potential. The algorithm takes into account the morphokinetics and morphological features of the first three days.
Automatic Annotation of Developmental Parameters
Automated labeling of developmental moments throughout the entire cycle to capture special events. Assist embryologists in establishing an evaluation system to better select embryos.
The world’s first prospective clinical study in the field.
Report published in RBMO in Decebmer 2023, Volume 47, Issue 6.
Pregnancy Rate, AI group vs. Manual Group, 80.87% vs. 68.15%
Live Birth Rate, AI group vs. Manual Group, 70.43% vs. 62.22%