Artificial intelligence in the assessment of female reproductive function using ultrasound: A review

Z Chen, Z Wang, M Du, Z Liu - Journal of Ultrasound in …, 2022 - Wiley Online Library
The incidence of infertility is continuously increasing nearly all over the world in recent
years, and novel methods for accurate assessment are of great need. Artificial Intelligence …

[PDF][PDF] Review on Embryo Selection Based on Morphology Using Machine Learning Methods.

ZZ Merican, UK Yusof, NL Abdullah - … of Advances in Soft Computing & Its …, 2021 - i-csrs.org
In vitro fertilization (IVF) offers a great help to infertile couple that are trying to conceive baby.
However, the success rate of IVF is still relatively low (38%). A critical factor that influences …

Does a public online IVF prediction tool help set patient expectations? A mixed methods evaluation study

BK Brew, N Donnolley, O Fitzgerald… - Human …, 2023 - academic.oup.com
STUDY QUESTION Does a public online IVF success prediction calculator based on real-
world data help set patient expectations? SUMMARY ANSWER The YourIVFSuccess …

Performance Analysis of Smart Intravenous Infusion Systems using Machine Learning

CG Babu, JRD Kumar, VR Balaji… - … and Robotics (STCR …, 2021 - ieeexplore.ieee.org
The Artificial Intelligence (AI) is one of the emerging eras of at present. It supports big data
analysis and the classification of them in fruitful way. Use of AI in real time data analytics …

GVBD rate is an independent predictor for pregnancy in ICSI patients with surplus immature oocytes

M Wang, Q Yang, J Liu, J Hu, D Li, X Ren… - Frontiers in …, 2023 - frontiersin.org
Introduction It was reported that there were still up to 30% immature retrieved oocyte at
germinal vesicle (GV) or metaphase I (MI) stage. Whether the spontaneous maturity …

Embryo Evaluation Based on ResNet with AdaptiveGA-optimized Hyperparameters

W Zhou, X Han, Y Xu, R Chen… - Journal of Internet …, 2022 - jit.ndhu.edu.tw
In vitro fertilization (IVF) embryo evaluation based on morphology is an effective method to
improve the success rate of transplantation. Although convolutional neural networks (CNNs) …

Predicting embryo viability to improve the success rate of implantation in IVF procedure: an AI-based prospective cohort study

D Jhala, S Ghosh, A Pathak, D Barhate - Computational Vision and Bio …, 2021 - Springer
In general, infertility affects one in the seven couples across the globe. Therefore, an
innovative and beneficial procedure is used to fertilize an egg outside the human body with …

An intelligent model for prediction of in-vitro fertilization success using MLP neural network and GA optimization

E Feli, R Hosseini, S Yazdani - Journal of AI and Data Mining, 2021 - jad.shahroodut.ac.ir
In Vitro Fertilization (IVF) is one of the scientifically known methods of infertility treatment.
This study aimed at improving the performance of predicting the success of IVF using …

Role of AI in Standardization and Automation of IVF Process: A Review

P Sharma, A Khan - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
A potential remedy for the problems with empirical or subjective judgments in clinical and
embryological decision-making in infertility therapy is artificial intelligence (AI). This paper …

A knowledge-based decision support system for in vitro fertilization treatment

X Wang, N Zhang, J Wang, J Ni, X Sun… - … Conference on E …, 2021 - ieeexplore.ieee.org
In Vitro Fertilization (IVF) is the most widely used Assisted Reproductive Technology (ART).
IVF usually involves controlled ovarian stimulation, oocyte retrieval, fertilization in the …