AIMC Topic: Reproductive Techniques, Assisted
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Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.
Nature communications
Sep 23, 2021
Assisted reproductive technologies (ART) are increasingly used, however little is known about the long-term health of ART-conceived offspring. Weak selection of comparison groups and poorly characterized mechanisms impede current understanding. In a ...
Artificial intelligence-the future is now.
Journal of assisted reproduction and genetics
Jul 7, 2021
The pros and cons of artificial intelligence in assisted reproductive technology are presented.
Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology.
Aging
May 17, 2021
The prediction of poor ovarian response (POR) for stratified interference is a critical clinical issue that has received an increasing amount of recent concern. Anthropogenic diagnostic modes remain too simple for the handling of actual clinical comp...
Neural Networks, Computer
Machine Learning
Algorithms
Prospective Studies
Humans
Support Vector Machine
Infertility, Female
Models, Statistical
Decision Trees
Female
Adult
Cohort Studies
Estradiol
Predictive Value of Tests
Ovarian Follicle
Anti-Mullerian Hormone
Ovary
Models, Biological
Reproductive Techniques, Assisted
Three ways of knowing: the integration of clinical expertise, evidence-based medicine, and artificial intelligence in assisted reproductive technologies.
Journal of assisted reproduction and genetics
Apr 19, 2021
Decision-making in fertility care is on the cusp of a significant frameshift. Online tools to integrate artificial intelligence into the decision-making process across all aspects of ART are rapidly emerging. These tools have the potential to improve...
Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients.
Frontiers in immunology
Apr 1, 2021
Recurrent reproductive failure (RRF), such as recurrent pregnancy loss and repeated implantation failure, is characterized by complex etiologies and particularly associated with diverse maternal factors. It is currently believed that RRF is closely a...
Mining of variables from embryo morphokinetics, blastocyst's morphology and patient parameters: an approach to predict the live birth in the assisted reproduction service.
JBRA assisted reproduction
Oct 6, 2020
Based on growing demand for assisted reproduction technology, improved predictive models are required to optimize in vitro fertilization/intracytoplasmatic sperm injection strategies, prioritizing single embryo transfer. There are still several obsta...
Empathetic application of machine learning may address appropriate utilization of ART.
Reproductive biomedicine online
Jul 15, 2020
The value of artificial intelligence to benefit infertile patients is a subject of debate. This paper presents the experience of one aspect of artificial intelligence, machine learning, coupled with patient empathy to improve utilization of assisted ...
Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive data.
Journal of assisted reproduction and genetics
Jul 11, 2020
Over the past years, the assisted reproductive technologies (ARTs) have been accompanied by constant innovations. For instance, intracytoplasmic sperm injection (ICSI), time-lapse monitoring of the embryonic morphokinetics, and PGS are innovative tec...
An artificial neural network for the prediction of assisted reproduction outcome.
Journal of assisted reproduction and genetics
Jun 19, 2019
PURPOSE: To construct and validate an efficient artificial neural network (ANN) based on parameters with statistical correlation to live birth, to be used as a comprehensive tool for the prediction of the clinical outcome for patients undergoing ART.
Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018.
Journal of assisted reproduction and genetics
Jan 28, 2019
Sixteen artificial intelligence (AI) and machine learning (ML) approaches were reported at the 2018 annual congresses of the American Society for Reproductive Biology (9) and European Society for Human Reproduction and Embryology (7). Nearly every as...
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