Embryologist experience affects concordance with an artificial intelligence embryo ranking algorithm: benefit of artificial intelligence assistance

IF 2.2

FS Reports Pub Date : 2026-06-01 Epub Date: 2026-04-08 DOI:10.1016/j.xfre.2026.04.002

Jørgen Berntsen M.Sc. , Philip Marsh M.Sc. , Brendan Burkart B.A. , Mark G. Larman Ph.D. , Martin N. Johansen Ph.D. , Mitchell Rosen M.D., HCLD

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Abstract

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.

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胚胎学家的经验影响了人工智能胚胎排序算法的一致性：人工智能辅助的好处

目的研究人工智能（AI）算法选择与人工胚胎选择的一致性，以及这种一致性对胚胎学家经验水平的影响。设计回顾性观察性研究。受试者对1,165例至少移植一个整倍体胚胎的患者进行了1,321例非整倍体植入前基因检测（PGT-A）测试周期。曝光胚胎的排名是手动和使用人工智能算法进行的。主要观察指标胚胎学家与人工智能算法的一致性。结果总体一致性率为58.6%(95%可信区间[CI]: 55.9% ~ 61.2%)，随着胚胎学家经验的增加，一致性率依次升高：初级（51.3%,95% CI: 44.3% ~ 58.2%），高级（57.1%,95% CI: 53.3% ~ 61.0%），高级+ (63.4%,95% CI: 59.2% ~ 67.7%)。一致性组胎儿心跳率为68.3% (95% CI: 65.1% ~ 71.6%)，不一致性组胎儿心跳率为66.5% （95% CI: 62.6% ~ 70.5%）。两组间的优势比无统计学意义，但在调整可用胚胎数、年龄和卵母细胞来源后，优势比有统计学意义。结论胚胎学家与人工智能算法的一致性程度与经验水平有显著关系。该研究还表明，辅助使用可能会增加临床结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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