AIMC Topic: Reproductive Techniques, Assisted
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Prediction of pregnancy-related complications in women undergoing assisted reproduction, using machine learning methods.
Fertility and sterility
Feb 17, 2024
OBJECTIVE: To use machine learning methods to develop prediction models of pregnancy complications in women who conceived with assisted reproductive techniques (ART).
The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive Technologies.
Obstetrics and gynecology clinics of North America
Sep 29, 2023
Artificial intelligence (AI) and machine learning, the form most commonly used in medicine, offer powerful tools utilizing the strengths of large data sets and intelligent algorithms. These systems can help to revolutionize delivery of treatments, ac...
Unlocking the potential of artificial intelligence (AI) in reproductive medicine: the JARG collection on assisted reproductive technology (ART) and machine learning.
Journal of assisted reproduction and genetics
Jul 22, 2023
Improving outcomes of assisted reproductive technologies using artificial intelligence for sperm selection.
Fertility and sterility
Jun 10, 2023
Within the field of assisted reproductive technology, artificial intelligence has become an attractive tool for potentially improving success rates. Recently, artificial intelligence-based tools for sperm evaluation and selection during intracytoplas...
Artificial intelligence in the in vitro fertilization laboratory: a review of advancements over the last decade.
Fertility and sterility
May 19, 2023
The integration of artificial intelligence (AI) and deep learning algorithms into medical care has been the focus of development over the last decade, particularly in the field of assisted reproductive technologies and in vitro fertilization (IVF). W...
Artificial intelligence and assisted reproductive technologies: 2023. Ready for prime time? Or not.
Fertility and sterility
May 18, 2023
Artificial intelligence has transformed many aspects of health care from image analysis to clinical decision making. Its evolution in medicine has been gradual and deliberate with several unanswered questions regarding efficiency, privacy, and bias. ...
Looking with new eyes: advanced microscopy and artificial intelligence in reproductive medicine.
Journal of assisted reproduction and genetics
Dec 19, 2022
Microscopy has long played a pivotal role in the field of assisted reproductive technology (ART). The advent of artificial intelligence (AI) has opened the door for new approaches to sperm and oocyte assessment and selection, with the potential for i...
Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI).
Journal of assisted reproduction and genetics
Nov 14, 2022
PURPOSE: Deep learning neural networks have been used to predict the developmental fate and implantation potential of embryos with high accuracy. Such networks have been used as an assistive quality assurance (QA) tool to identify perturbations in th...
Artificial intelligence in the embryology laboratory: a review.
Reproductive biomedicine online
Nov 12, 2021
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 yet to be achieved. One reason for this is the method of selecti...
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