EmbryoExplore the workflow
A synthetic case, five embryos, comparisons of predefined features and an example explainable report.
A PLATFORM IN RESEARCH
AI support for
embryo assessment.
In the context of
your expertise.
EmbryoAI explores how artificial intelligence can help specialists compare data and understand the basis of an assessment.
For IVF clinics, embryology laboratories and research teams.
Explore the demo No sign-up required
A synthetic example
A synthetic example
EMBRYOAI / WORKSPACEDemo
Synthetic caseUnderstand the assessment.
Understand the assessment.
See the reasoning.
01 → 02 → 03Turning data into
a clear structure
a clear structure
Embryo E–0392 / 100
Illustrative score · demo
Set for illustration.
Not an outcome probability.
The specialist makes the decision
DESIGNED FOR
IVF clinics
Embryology laboratories
Research teams
01 / APPROACH
Complex data.
A structured review.
Embryo assessment brings together morphology, developmental dynamics and the embryologist’s expertise. A single measure cannot reveal the whole picture.
We are exploring an approach to comparing observations, identifying differences and retaining clinical context. Its practical value remains to be evaluated.
- 01
Compare the data
Images, morphological features and, where available, developmental dynamics.
In the demo: predefined features - 02
Explore the assessment
Embryo comparisons with assessment factors, model confidence and limitations.
In the demo: an example report structure - 03
Keep the expert in control
The specialist considers the analysis alongside case data and their own assessment.
Clinical decisions remain human
02 / EXPLAINABILITY
Behind every assessment
there should be
an explanation.
Ranking alone is not enough. It matters which data it is based on, and what the system does not know.
Explore a sample reportREPORT STRUCTUREDemo
01
Basis of assessment
Morphological features and the source of each observation.
02
Confidence and unknowns
Confidence is not calculated in this demo. Clinical outcomes are unknown.
03
Limits of interpretation
What is not accounted for, and what needs specialist review.
An interface example. No AI model has been run.
03 / PROJECT STATUS
A clear view of
where we are today.
EmbryoAI is a research project. This demo illustrates the interaction flow; the documentation does not establish the platform’s clinical effectiveness.
Work with data
Image and time-lapse input, model analysis, integrations and explanations of calculated results.
Evaluate clinical value
Multimodal models and outcome prediction, including implantation, pregnancy and live birth.
What is needed before clinical use
Define target outcomes and a study protocol, assess data quality and provenance, and test the model on independent data from multiple laboratories.
Separately assess reproducibility, confidence calibration, differences between groups, safety and applicable regulatory requirements. These are necessary areas of work, not completed validation.
Any effect on pregnancy rates, the number of IVF cycles or the likelihood of live birth requires scientific and clinical evidence.
EXPLORE THE APPROACH
From comparison
to understanding.
One synthetic case. The complete demo journey.