Miyagi Yasunari, Habara Toshihiro, Hirata Rei, Hayashi Nobuyoshi
Medical Data Labo Okayama City Okayama Prefecture Japan.
Okayama Couple's Clinic Okayama City Okayama Prefecture Japan.
Reprod Med Biol. 2024 Sep 30;23(1):e12612. doi: 10.1002/rmb2.12612. eCollection 2024 Jan-Dec.
To investigate the usefulness of an original dual artificial intelligence (AI) system, in which the first AI system eliminates the background of sliced tomographic blastocyst images, then the second AI system predicts implantation success using three-dimensional (3D) reconstructed images of the sequential images and conventional embryo evaluation parameters (CEE) such as maternal age.
Patients (from June 2022 to July 2023) could opt out and there was additional information on the Web site of the clinic. Implantation and non-implantation cases numbered 458 and 519, respectively. A total of 10 747 tomographic images of the blastocyst in a time-lapse incubator system with the CEE were obtained.
The statistic values by the dual AI system were 0.774 ± 0.033 (mean ± standard error) for area under the characteristic curve, 0.727 for sensitivity, 0.719 for specificity, 0.727 for predictive value of positive test, 0.719 predictive value of negative test, and 0.723 for accuracy, respectively.
The usefulness of the dual AI system in predicting implantation of blastocyst in handling 3D data with conventional embryo evaluation information was demonstrated. This system may be a feasible option in clinical practice.
研究一种原创的双人工智能（AI）系统的实用性，其中第一个AI系统消除切片断层囊胚图像的背景，然后第二个AI系统使用序列图像的三维（3D）重建图像和诸如产妇年龄等传统胚胎评估参数（CEE）来预测着床成功率。
患者（2022年6月至2023年7月）可以选择退出，诊所网站上有更多信息。着床和未着床病例分别为458例和519例。在带有CEE的延时培养箱系统中总共获得了10747张囊胚的断层图像。
双AI系统的统计值分别为：特征曲线下面积为0.774±0.033（平均值±标准误差），灵敏度为0.727，特异性为0.719，阳性预测值为0.727，阴性预测值为0.719，准确率为0.723。
证明了双AI系统在结合传统胚胎评估信息处理3D数据时预测囊胚着床的实用性。该系统在临床实践中可能是一个可行的选择。
