[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 …
fertilization (IVF) process. It aims to choose the “best” embryos from the larger cohort of …
[HTML][HTML] Integrated pseudotime analysis of human pre-implantation embryo single-cell transcriptomes reveals the dynamics of lineage specification
Understanding lineage specification during human pre-implantation development is a
gateway to improving assisted reproductive technologies and stem cell research. Here we …
gateway to improving assisted reproductive technologies and stem cell research. Here we …
Review of computer vision application in in vitro fertilization: the application of deep learning-based computer vision technology in the world of IVF
In vitro fertilization has been regarded as a forefront solution in treating infertility for over four
decades, yet its effectiveness has remained relatively low. This could be attributed to the …
decades, yet its effectiveness has remained relatively low. This could be attributed to the …
A hybrid artificial intelligence model leverages multi-centric clinical data to improve fetal heart rate pregnancy prediction across time-lapse systems
A Duval, D Nogueira, N Dissler… - Human …, 2023 - academic.oup.com
STUDY QUESTION Can artificial intelligence (AI) algorithms developed to assist
embryologists in evaluating embryo morphokinetics be enriched with multi-centric clinical …
embryologists in evaluating embryo morphokinetics be enriched with multi-centric clinical …
Non-invasive prediction of human embryonic ploidy using artificial intelligence: a systematic review and meta-analysis
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embryos has paved the way for deep-learning based computer vision algorithms to assist …
embryos has paved the way for deep-learning based computer vision algorithms to assist …
Image Processing Approach for Grading IVF Blastocyst: A State-of-the-Art Review and Future Perspective of Deep Learning-Based Models
IS Isa, UK Yusof, M Mohd Zain - Applied Sciences, 2023 - mdpi.com
The development of intelligence-based methods and application systems has expanded for
the use of quality blastocyst selection in in vitro fertilization (IVF). Significant models on …
the use of quality blastocyst selection in in vitro fertilization (IVF). Significant models on …
[HTML][HTML] Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics
L Yang, M Peavey, K Kaskar, N Chappell, L Zhu… - F&S Reports, 2022 - Elsevier
Objective To evaluate the feasibility of generating a center-specific embryo morphokinetic
algorithm by time-lapse microscopy to predict clinical pregnancy rates. Design A …
algorithm by time-lapse microscopy to predict clinical pregnancy rates. Design A …
Delineating the heterogeneity of embryo preimplantation development using automated and accurate morphokinetic annotation
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 …
morphokinetic events of embryos that were recorded by time-lapse incubators. Using …