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Published on: August 25, 2019
Embryologist experience affects concordance with an artificial intelligence embryo ranking algorithm: benefit of
Jørgen Berntsen1, Philip Marsh2, Brendan Burkart2
1Research and Development Medical Devices, Vitrolife Group, Viby, Denmark.
F&S Reports
|June 22, 2026
Summary
Artificial intelligence (AI) algorithms show increasing concordance with embryologist embryo selection based on experience. This suggests AI can aid in selecting embryos for improved outcomes in fertility treatments.
Area of Science:
- Reproductive medicine and artificial intelligence.
- Embryology and assisted reproductive technologies.
Background:
- Manual embryo selection is crucial in assisted reproductive technologies.
- Artificial intelligence (AI) offers potential for objective embryo assessment.
Purpose of the Study:
- To evaluate the concordance between AI-driven and manual embryo selection.
- To determine how embryologist experience influences AI-embryologist concordance.
Main Methods:
- Retrospective observational study of 1,321 preimplantation genetic testing for aneuploidy cycles.
- Embryo ranking performed manually by embryologists and by an AI algorithm.
- Analysis of concordance rates based on embryologist experience levels (Junior, Senior, Senior+).
Main Results:
- Overall concordance between AI and embryologists was 58.6%.
- Concordance increased with embryologist experience: Junior (51.3%), Senior (57.1%), Senior+ (63.4%).
- Adjusted analysis showed a significant odds ratio for fetal heartbeat rates between concordant and discordant groups.
Conclusions:
- Embryologist experience significantly impacts AI algorithm concordance in embryo selection.
- AI-assisted embryo selection may enhance clinical outcomes in fertility treatments.
