Top journals
Frequent coauthors
- Hayashi N 6
- Habara T 6
- Miyagi Y 4
- Otsuki J 2
- Takahashi H 2
- Yamamoto M 1
- Saito H 1
PurposeTo 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 su…
PurposeThis study aimed to analyze whether tripronuclear (3PN) zygotes, with two normal-sized PNs and an additional smaller PN (2.1PN), can be used for embryo transfer.MethodsA retrospective embryo cohort study was conducted on 695 patients…
PurposeThis study aimed to analyze whether the presence of refractile bodies (RFs) negatively affects fertilization, embryo development, and/or implantation rates following intracytoplasmic sperm injection (ICSI).MethodsThis retrospective e…
PurposeTo make the artificial intelligence (AI) classifiers of the image of the blastocyst implanted later in order to predict the probability of achieving live birth.MethodsA system for using the machine learning approaches, which are logi…
PurposeTo identify artificial intelligence (AI) classifiers in images of blastocysts to predict the probability of achieving a live birth in patients classified by age. Results are compared to those obtained by conventional embryo (CE) eval…
PurposeTo identify the multivariate logistic regression in a combination (combination method) involving artificial intelligence (AI) classifiers in images of blastocysts along with a conventional embryo evaluation (CEE) to predict the proba…