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Updated: Jun 23, 2026
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
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.
Objective:
To study the concordance between artificial intelligence (AI) algorithm selection and manual embryo selection, and how the concordance depends on the experience levels of embryologists.
Design:
Retrospective observational study.
Subjects:
A total of 1,321 preimplantation genetic testing for aneuploidy (PGT-A) tested cycles from 1,165 patients with at least one transferred euploid embryo.
Exposure:
Embryo ranking was performed both manually and using an AI algorithm.
Main Outcome Measures:
The concordance rate between embryologists and an AI algorithm.
Results:
The overall concordance rate was 58.6% (95% confidence interval [CI]: 55.9%-61.2%) and increased with embryologist experience: Junior (51.3%, 95% CI: 44.3%-58.2%), Senior (57.1%, 95% CI: 53.3%-61.0%), and Senior+ (63.4%, 95% CI: 59.2%-67.7%). The fetal heartbeat (FHB) rates were 68.3% (95% CI: 65.1%-71.6%) in the concordant group and 66.5% (95% CI: 62.6%-70.5%) in the discordant group. The odds ratio between the two groups was not statistically significant, however when adjusting for the number of usable embryos, age and oocyte source, the odds ratio was significant.
Conclusion:
The concordance levels between embryologists and an AI algorithm depended significantly on the level of experience. The study also indicated that adjunctive use could potentially increase clinical outcomes.
