Research question Can artificial intelligence and advanced image analysis extract and
harness novel information derived from cytoplasmic movements of the early human embryo …

In vitro fertilization has become increasingly popular as an infertility treatment. In order to
improve efficiency of this procedure, there is a strong need for a refinement of existing …

Objective Using a non-invasive method to select the most competent embryo is essential in
in vitro fertilization (IVF). Since the beginning of clinical application of time-lapse technology …

Objective To apply artificial intelligence (AI) technology on time-lapse (TLM) morphokinetic
parameters and TLM embryo images to enhance embryo selection and prediction of live …

STUDY QUESTION Can time-lapse imaging systems make it possible to identify novel early
non-invasive biomarkers to predict live birth? SUMMARY ANSWER From mostly high-grade …

Purpose Our objective was to design an automated deep learning model that extracts the
morphokinetic events of embryos that were recorded by time-lapse incubators. Using …

Background Current morphological grading methods rely on descriptive parameters to rank
cleavage-stage embryos for transfer. The limited measurements and overall subjective …

Selecting the best embryo for transfer is key to success in assisted reproduction. The use of
algorithms or artificial intelligence can already predict blastulation or implantation with good …

In in vitro fertilization (IVF) treatments, early identification of embryos with high implantation
potential is required for shortening time to pregnancy while avoiding clinical complications to …

Objective Many studies have demonstrated a correlation between early cell division to the 2-
cell stage and subsequent viability of individual embryos. The objective of this study was to …