Embryo evaluation and selection embody the aggregate manifestation of the entire in vitro
fertilization (IVF) process. It aims to choose the “best” embryos from the larger cohort of …

Assessing and selecting the most viable embryos for transfer is an essential part of in vitro
fertilization (IVF). In recent years, several approaches have been made to improve and …

With the exponential growth of computing power and accumulation of embryo image data in
recent years, artificial intelligence (AI) is starting to be utilized in embryo selection in IVF …

Background Recently, the combination of deep learning and time-lapse imaging provides an
objective, standard and scientific solution for embryo selection. However, the reported …

STUDY QUESTION Can artificial intelligence (AI) algorithms developed to assist
embryologists in evaluating embryo morphokinetics be enriched with multi-centric clinical …

BACKGROUND The factors associated with embryo aneuploidy have been extensively
studied. Mostly maternal age and to a lesser extent male factor and ovarian stimulation have …

Defined as computer algorithms/software that can perform tasks that typically require human
intelligence (eg learning, problem-solving, visual perception), Artificial Intelligence (AI) is …

La prevalencia de la esterilidad entre la población en edad reproductiva continúa
aumentando año tras año en las sociedades occidentales y el recurso terapéutico en la …

Selecting the best embryos to transfer is essential in any in vitro fertilization treatment. For
years, embryo morphology supported this selection. Now, the field is seeking more accurate …

Artificial Intelligence (AI) is a expanding field to optimize results in medicine with special
emphasis in radiology with optimization of images. Similarly in reproductive medicine it has …