Publications by authors named "Huy Phuong Tran"
Article Synopsis
- The study aimed to examine factors linked to mosaicism in human embryos, specifically analyzing data from 73 couples who underwent IVF from 2018 to 2022 at Hung Vuong Hospital.
- Out of 308 embryos tested, 31.8% were found to be mosaic, with results indicating that older female age significantly increased the likelihood of this condition, while male age had a marginal connection.
- The research concludes that female age is a key factor in embryo mosaicism, highlighting the need for additional studies to explore the specific mechanisms behind this phenomenon.
Telemedicine is being applied in assisted reproduction technology (ART) to provide remote consultations, monitoring and support for patients. This study aimed to evaluate the potential advantages of telemedicine in ART treatment in the form of virtual consultations. Studies in which patients were using telemedicine during ART treatment were identified from four scientific databases (PudMed, EMBASE, Scopus, Web of Science).
View Article and Find Full Text PDFKey Clinical Message: In in vitro fertilization (IVF), laser offers several advantages. In this study, we employed laser to eliminate the zona pellucida of a contaminated embryo. This approach helps to rescue embryo with bacterial contamination, and improve embryo-endometrium interaction.
View Article and Find Full Text PDFArticle Synopsis
- The article DOI: 10.7759/cureus.52256 has been corrected to address errors or inaccuracies.
- The correction aims to enhance the clarity and accuracy of the research findings presented in the original article.
- Readers and researchers are encouraged to refer to the corrected version for reliable information.
Objective Recurrent implantation failure (RIF) is a significant challenge in assisted reproduction. Genratest has emerged as a potential tool to identify the displaced window of implantation (WOI). This study aimed to evaluate the impact of this test on the pregnancy outcomes of RIF patients.
View Article and Find Full Text PDFPurpose: The primary aim of this research is to enhance the utilization of advanced deep learning (DL) techniques in the domain of in vitro fertilization (IVF) by presenting a more refined approach to the segmentation and organization of microscopic embryos. This study also seeks to establish a comprehensive embryo database that can be employed for future research and educational purposes.
Methods: This study introduces an advanced methodology for embryo segmentation and organization using DL.