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Artificial intelligence in the embryology laboratory: a review
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 …
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …
AI-based computer vision techniques and expert systems
Y Matsuzaka, R Yashiro - Ai, 2023 - mdpi.com
Computer vision is a branch of computer science that studies how computers can 'see'. It is a
field that provides significant value for advancements in academia and artificial intelligence …
field that provides significant value for advancements in academia and artificial intelligence …
EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool
The combination of a good quality embryo and proper maternal health factors promise
higher chances of a successful in vitro fertilization (IVF) procedure leading to clinical …
higher chances of a successful in vitro fertilization (IVF) procedure leading to clinical …
Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
Controlled ovarian stimulation is tailored to the patient based on clinical parameters but
estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have …
estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have …
Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication
This study addresses the research problem of enhancing In-Vitro Fertilization (IVF) success
rate prediction by integrating advanced machine learning paradigms with gynecological …
rate prediction by integrating advanced machine learning paradigms with gynecological …
Application of artificial intelligence in gametes and embryos selection
K Si, B Huang, L ** - Human Fertility, 2023 - Taylor & Francis
Gamete and embryo quality are critical to the success rate of Assisted Reproductive
Technology (ART) cycles, but there remains a lack of methods to accurately measure the …
Technology (ART) cycles, but there remains a lack of methods to accurately measure the …
[HTML][HTML] Human blastocyst components detection using multiscale aggregation semantic segmentation network for embryonic analysis
Infertility is one of the most important health concerns worldwide. It is characterized by not
being successful of pregnancy after some periods of periodic unprotected sexual …
being successful of pregnancy after some periods of periodic unprotected sexual …
A review of artificial intelligence applications in in vitro fertilization
Q Zhang, X Liang, Z Chen - Journal of Assisted Reproduction and Genetics, 2025 - Springer
The field of reproductive medicine has witnessed rapid advancements in artificial
intelligence (AI) methods, which have significantly enhanced the efficiency of diagnosing …
intelligence (AI) methods, which have significantly enhanced the efficiency of diagnosing …
Image Processing Approach for Grading IVF Blastocyst: A State-of-the-Art Review and Future Perspective of Deep Learning-Based Models
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] Unique deep radiomic signature shows NMN treatment reverses morphology of oocytes from aged mice
The purpose of this study is to develop a deep radiomic signature based on an artificial
intelligence (AI) model. This radiomic signature identifies oocyte morphological changes …
intelligence (AI) model. This radiomic signature identifies oocyte morphological changes …