Kaname Yoshida

No ORCID on file · 2 papers in corpus

other 2026

Utilizing Artificial Intelligence in Cine Magnetic Resonance Imaging Analysis: A Promising Approach for Assessment of Uterine Factors and Prediction of Pregnancy Outcomes in Patients With Recurrent Implantation Failure

Reproductive medicine and biology ·doi:10.1002/rmb2.70028

PURPOSE: Recurrent implantation failure (RIF) is a form of refractory infertility that persists despite assisted reproductive technology. Cine magnetic resonance imaging (cine MRI) enables the visualization of uterine peristalsis; however, …

other 2025

Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning

Journal of ovarian research ·doi:10.1186/s13048-025-01732-0

BACKGROUND: The age-related decline of fertility is caused by a reduction of the ovarian reserve, which is represented by the number and quality of oocytes in the ovaries. Anti-Müllerian hormone (AMH) is considered one of the most useful ma…