BACKGROUND A normal chromosomal constitution defined through PGT-A assessing all
chromosomes on trophectoderm (TE) biopsies represents the strongest predictor of embryo …

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 …

Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …

STUDY QUESTION Can an artificial intelligence (AI)-based model predict human embryo
viability using images captured by optical light microscopy? SUMMARY ANSWER We have …

STUDY QUESTION Can a deep learning model predict the probability of pregnancy with
fetal heart (FH) from time-lapse videos? SUMMARY ANSWER We created a deep learning …

STUDY QUESTION How should recurrent implantation failure (RIF) in patients undergoing
ART be defined and managed? SUMMARY ANSWER This is the first ESHRE good practice …

The goal of an IVF cycle is a healthy live-born baby. Despite the many advances in the field
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …

Background One challenge in the field of in-vitro fertilisation is the selection of the most
viable embryos for transfer. Morphological quality assessment and morphokinetic analysis …

Deep learning in in vitro fertilization is currently being evaluated in the development of
assistive tools for the determination of transfer order and implantation potential using time …

Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …