AI Medical Compendium Topic

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Fertilization in Vitro

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Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning.

Journal of assisted reproduction and genetics
PURPOSE: This article aims to assess how differences in maternal age distributions between IVF clinics affect the performance of an artificial intelligence model for embryo viability prediction and proposes a method to account for such differences.

Noninvasive genetic screening: current advances in artificial intelligence for embryo ploidy prediction.

Fertility and sterility
This review discusses the use of artificial intelligence (AI) algorithms in noninvasive prediction of embryo ploidy status for preimplantation genetic testing in in vitro fertilization procedures. The current gold standard, preimplantation genetic te...

How should the best human embryo in vitro be? Current and future challenges for embryo selection.

Minerva obstetrics and gynecology
In-vitro fertilization (IVF) aims at overcoming the causes of infertility and lead to a healthy live birth. To maximize IVF efficiency, it is critical to identify and transfer the most competent embryo within a cohort produced by a couple during a cy...

[Interest of iDAScore (intelligent Data Analysis Score) for embryo selection in routine IVF laboratory practice: Results of a preliminary study].

Gynecologie, obstetrique, fertilite & senologie
INTRODUCTION: Embryo selection is a major challenge in ART, especially since the generalization of single embryo transfer, and its optimization could lead to the improvement of clinical results in IVF. Recently, several Artificial Intelligence (AI) m...

Applications of artificial intelligence in ovarian stimulation: a tool for improving efficiency and outcomes.

Fertility and sterility
Because of the birth of the first baby after in vitro fertilization (IVF), the field of assisted reproductive technologies (ARTs) has seen significant advancements in the past 40 years. Over the last decade, the healthcare industry has increasingly a...

Artificial intelligence in the in vitro fertilization laboratory: a review of advancements over the last decade.

Fertility and sterility
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...

Opportunities for artificial intelligence in healthcare and in vitro fertilization.

Fertility and sterility
Artificial intelligence (AI) is understandably garnering an increased share of voice in the general and specialized media. The recent release of several generative AI products has added "touchable" context to fears of the potential negative effects o...

An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization.

Scientific data
Medical Assisted Reproduction proved its efficacy to treat the vast majority forms of infertility. One of the key procedures in this treatment is the selection and transfer of the embryo with the highest developmental potential. To assess this potent...

Development and validation of deep learning based embryo selection across multiple days of transfer.

Scientific reports
This work describes the development and validation of a fully automated deep learning model, iDAScore v2.0, for the evaluation of human embryos incubated for 2, 3, and 5 or more days. We trained and evaluated the model on an extensive and diverse dat...

New frontiers in embryo selection.

Journal of assisted reproduction and genetics
Human infertility is a major global public health issue estimated to affect one out of six couples, while the number of assisted reproduction cycles grows impressively year over year. Efforts to alleviate infertility using advanced technology are gai...