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Purpose: To determine if an explainable artificial intelligence (XAI) model enhances the accuracy and transparency of predicting embryo ploidy status based on embryonic characteristics and clinical data. Methods: This retrospective study utilized a dataset of 1908 blastocyst embryos. The dataset includes ploidy status, morphokinetic features, morphology grades, and 11 clinical variables. Six machine learning (ML) models including Random Forest (RF), Linear Discriminant Analysis (LDA), Logistic Regression (LR), Support Vector Machine (SVM), AdaBoost (ADA), and Light Gradient-Boosting Machine (LGBM) were trained to predict ploidy status probabilities across three distinct datasets: high-grade embryos (HGE, n = 1107), low-grade embryos (LGE, n = 364), and all-grade embryos (AGE, n = 1471). The model's performance was interpreted using XAI, including SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) techniques. Results: The mean maternal age was 38.5 ± 3.85 years. The Random Forest (RF) model exhibited superior performance compared to the other five ML models, achieving an accuracy of 0.749 and an AUC of 0.808 for AGE. In the external test set, the RF model achieved an accuracy of 0.714 and an AUC of 0.750 (95% CI, 0.702–0.796). SHAP's feature impact analysis highlighted that maternal age, paternal age, time to blastocyst (tB), and day 5 morphology grade significantly impacted the predictive model. In addition, LIME offered specific case-ploidy prediction probabilities, revealing the model's assigned values for each variable within a finite range. Conclusion: The model highlights the potential of using XAI algorithms to enhance ploidy prediction, optimize embryo selection as patient-centric consultation, and provides reliability and transparent insights into the decision-making process. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the feasibility of adjusted mitochondrial DNA quantification in human embryos as a biomarker for implantation potential. Design: Double-blind, observational, prospective analysis of an Asian population in a single university-affiliated in vitro fertilization center. A total of 1617 embryos derived from 380 infertile couples were collected. The DNA from blastomere biopsy (n = 99) or trophectoderm biopsy (n = 1518) were analyzed with next-generation sequencing. Results: The adjusted mtDNA quantification followed a non-normal distribution in both types of the embryos. When stratified by ploidy status, the adjusted mtDNA quantification was significantly higher in aneuploid trophectoderm than in euploid cells, but not in blastomeres. The adjusted mtDNA quantification of embryos showed significant but very weak positive correlation in total trophectoderm cells with maternal age (Spearman's correlation, r = 0.095, p = 0.0028) but neither in blastomeres nor stratified by ploidy status. The median adjusted mtDNA quantification was also significantly higher in aneuploid blastocysts than in euploid ones while corrected with embryo morphology. Viable embryos did not contain significantly different quantities of adjusted mtDNA compared with nonviable embryos (implanted n = 103, non-implanted n = 164; median 0.00097 vs. 0.00088, p = 0.21) in 267 transferred blastocysts. Conclusion: Quantification of adjusted mitochondria DNA in human embryos was significantly lower in euploid blastocysts than in aneuploid blastocysts. However, no statistically significant differences regarding implantation outcome were evident. To our best knowledge, this study provides the largest scale and the first correlation data between mitochondria copy number and human embryo implantation potential in Asians. [ABSTRACT FROM AUTHOR]

Preimplantation genetic testing has been used widely in recent years as a part of assisted reproductive technology (ART) owing to the breakthrough development of deoxyribonucleic acid (DNA) sequencing. With the advancement of technology and increased resolution of next generation sequencing (NGS), extensive comprehensive chromosome screening along with small clinically significant deletions and duplications can possibly be performed simultaneously. Here, we present a case of rare chromosomal aberrations: 46,XY,dup(15)(q11.2q13),t(16;18)(q23;p11.2), which resulted in a normally developed adult but abnormal gametes leading to recurrent pregnancy loss (RPL). To our best knowledge, this is the first report of t(16;18) translocation with such a small exchanged segment detected by NGS platform of MiSeq system in simultaneous 24-chromosome aneuploidy screening. [ABSTRACT FROM AUTHOR]