[HTML][HTML] Artificial intelligence in human in vitro fertilization and embryology

N Zaninovic, Z Rosenwaks - Fertility and Sterility, 2020 - Elsevier
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 …

Controversies in ART: can the IVF laboratory influence preimplantation embryo aneuploidy?

JE Swain - Reproductive biomedicine online, 2019 - Elsevier
Published reports have indicated that rates of preimplantation embryo aneuploidy in a
control donor population may vary between IVF centres. This suggests that location-specific …

[HTML][HTML] Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation …

L Bori, E Paya, L Alegre, TA Viloria, JA Remohi… - Fertility and sterility, 2020 - Elsevier
Objective To describe novel embryo features capable of predicting implantation potential as
input data for an artificial neural network (ANN) model. Design Retrospective cohort study …

How slow is too slow? A comprehensive portrait of Day 7 blastocysts and their clinical value standardized through artificial intelligence

D Cimadomo, D Soscia, V Casciani… - Human …, 2022 - academic.oup.com
STUDY QUESTION What is the clinical value of Day 7 blastocysts? SUMMARY ANSWER
Ending embryo culture at 144 hours post-insemination (hpi; ie 6 days) would involve 7.3 …

Morphogenesis of the human preimplantation embryo: bringing mechanics to the clinics

J Firmin, JL Maître - Seminars in Cell & Developmental Biology, 2021 - Elsevier
During preimplantation development, the human embryo forms the blastocyst, the structure
enabling uterine implantation. The blastocyst consists of an epithelial envelope, the …

Deep learning neural network analysis of human blastocyst expansion from time-lapse image files

TTF Huang, T Kosasa, B Walker, C Arnett… - Reproductive …, 2021 - Elsevier
Research question Can artificial intelligence (AI) discriminate a blastocyst's cellular area
from unedited time-lapse image files using semantic segmentation and a deep learning …

[HTML][HTML] Non-invasive evaluation of embryo quality for the selection of transferable embryos in human in vitro fertilization-embryo transfer

J Kim, J Lee, JH Jun - Clinical and Experimental Reproductive …, 2022 - ncbi.nlm.nih.gov
The ultimate goal of human assisted reproductive technology is to achieve a healthy
pregnancy and birth, ideally from the selection and transfer of a single competent embryo …

Clinical pregnancy is significantly associated with the blastocyst width and area: a time-lapse study

R Sciorio, D Thong, KJ Thong, SJ Pickering - Journal of Assisted …, 2021 - Springer
In order to maintain pregnancy rates following single embryo transfer, optimisation of
embryo culture and selection is vital. Time-lapse monitoring (TLM) has the potential to play a …

Clinical usability of embryo development using a combined qualitative and quantitative approach in a single vitrified-warmed blastocyst transfer: assessment of pre …

JK Park, SY Ahn, SH Seok, SY Park, S Bang… - Journal of Clinical …, 2022 - mdpi.com
Improving the safety and efficacy of assisted reproductive technology programs has been a
continuous challenge. Traditionally, morphological grading has been used for embryo …

Longitudinal surface measurements of human blastocysts show that the dynamics of blastocoel expansion are associated with fertilization method and ongoing …

ES van Marion, EA Chavli, JSE Laven… - Reproductive Biology …, 2022 - Springer
Background Despite all research efforts during this era of novel time-lapse morphokinetic
parameters, a morphological grading system is still routinely being used for embryo …