Hirata R

No ORCID on file · 6 papers in corpus · active 2019-2024
2024
Reproductive medicine and biology ·doi:10.1002/rmb2.12612

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…

2022
Reproductive medicine and biology ·doi:10.1002/rmb2.12462

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…

2020
Reproductive medicine and biology ·doi:10.1002/rmb2.12305

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…

2019
Reproductive medicine and biology ·doi:10.1002/rmb2.12267

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…

2019
Reproductive medicine and biology ·doi:10.1002/rmb2.12266

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…

2019
Reproductive medicine and biology ·doi:10.1002/rmb2.12284

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…