AIMC Topic: Preimplantation Diagnosis
Clear Filters Showing 11 to 19 of 19 articles
Can the combination of time-lapse parameters and clinical features predict embryonic ploidy status or implantation?
Reproductive biomedicine online
Jun 17, 2022
RESEARCH QUESTION: Can models based on artificial intelligence predict embryonic ploidy status or implantation potential of euploid transferred embryos? Can the addition of clinical features into time-lapse monitoring (TLM) parameters as input data i...
End-to-end deep learning for recognition of ploidy status using time-lapse videos.
Journal of assisted reproduction and genetics
May 22, 2021
PURPOSE: Our retrospective study is to investigate an end-to-end deep learning model in identifying ploidy status through raw time-lapse video.
Ethics of artificial intelligence in embryo assessment: mapping the terrain.
Human reproduction (Oxford, England)
Feb 1, 2025
Artificial intelligence (AI) has the potential to standardize and automate important aspects of fertility treatment, improving clinical outcomes. One promising application of AI in the fertility clinic is the use of machine learning (ML) tools to ass...
Could metabolic imaging and artificial intelligence provide a novel path to non-invasive aneuploidy assessments? A certain clinical need.
Reproduction, fertility, and development
Jan 1, 2025
Pre-implantation genetic testing for aneuploidy (PGT-A) via embryo biopsy helps in embryo selection by assessing embryo ploidy. However, clinical practice needs to consider the invasive nature of embryo biopsy, potential mosaicism, and inaccurate rep...
Time will tell: time-lapse technology and artificial intelligence to set time cut-offs indicating embryo incompetence.
Human reproduction (Oxford, England)
Dec 1, 2024
STUDY QUESTION: Can more reliable time cut-offs of embryo developmental incompetence be generated by combining time-lapse technology (TLT), artificial intelligence, and preimplantation genetics screening for aneuploidy (PGT-A)?
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.
The Lancet. Digital health
Jan 1, 2023
BACKGROUND: One challenge in the field of in-vitro fertilisation is the selection of the most viable embryos for transfer. Morphological quality assessment and morphokinetic analysis both have the disadvantage of intra-observer and inter-observer var...
Human blastocyst spontaneous collapse is associated with worse morphological quality and higher degeneration and aneuploidy rates: a comprehensive analysis standardized through artificial intelligence.
Human reproduction (Oxford, England)
Sep 30, 2022
STUDY QUESTION: What are the factors associated with human blastocyst spontaneous collapse and the consequences of this event?
Artificial intelligence in human in vitro fertilization and embryology.
Fertility and sterility
Nov 1, 2020
Embryo evaluation and selection embody the aggregate manifestation of the entire in vitro fertilization (IVF) process. It aims to choose the "best" embryos from the larger cohort of fertilized oocytes, the majority of which will be determined to be n...
Meddling with new technologies or amending an embryos' potential.
Journal of assisted reproduction and genetics
Apr 1, 2019
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