Purpose This study established a machine learning model (MLM) trained on embryo images to predict fertilization following short‐term insemination for early rescue ICSI and compared its predictive performance with the embryologist's manual classification.
Masato Saito +10 more
doaj +1 more source
Women's perspectives regarding in vitro fertilization as a conception option at the primary healthcare level in Ekiti State. [PDF]
Fadare RI +4 more
europepmc +1 more source
Preferences of women experiencing infertility for in vitro fertilisation treatment in China: a discrete choice experiment. [PDF]
Lu L +7 more
europepmc +1 more source
Direct and indirect evidence for pyroptosis and immune dysregulation in IVF/ICSI-ET-related early pregnancy loss. [PDF]
Wang X, Chen G, Liu F.
europepmc +1 more source
Association between <i>in vitro</i> fertilization and preeclampsia: a multicenter cohort study with subgroup analysis by maternal age, BMI, and parity. [PDF]
Yu P +7 more
europepmc +1 more source
Infertility treatment and the growth of children from birth to 12 years of age: A national cohort study. [PDF]
Chang YS, Yu T, Wong TJ, Li CY.
europepmc +1 more source
Clinical challenges and therapeutic strategies in women with endometriosis, deep infiltrating endometriosis, and/or adenomyosis undergoing assisted reproductive technologies: a narrative review. [PDF]
Kaya C.
europepmc +1 more source

