AIMC Topic: Ploidies
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Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation.
Journal of assisted reproduction and genetics
Jul 4, 2024
PURPOSE: To determine if an explainable artificial intelligence (XAI) model enhances the accuracy and transparency of predicting embryo ploidy status based on embryonic characteristics and clinical data.
Deep learning system for classification of ploidy status using time-lapse videos.
F&S science
Jun 30, 2023
OBJECTIVE: To develop a spatiotemporal model for de prediction of euploid and aneuploid embryos using time-lapse videos from 10-115 hours after insemination (hpi).
Noninvasive genetic screening: current advances in artificial intelligence for embryo ploidy prediction.
Fertility and sterility
Jun 30, 2023
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...
Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images.
Genes
Apr 16, 2023
Polyploidy, the duplication of the entire genome within a single cell, is a significant characteristic of cells in many tissues, including the liver. The quantification of hepatic ploidy typically relies on flow cytometry and immunofluorescence (IF) ...
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...
An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data.
Reproductive biology and endocrinology : RB&E
Dec 13, 2021
BACKGROUND: For the association between time-lapse technology (TLT) and embryo ploidy status, there has not yet been fully understood. TLT has the characteristics of large amount of data and non-invasiveness. If we want to accurately predict embryo p...
Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation.
Reproductive biomedicine online
Jul 5, 2020
RESEARCH QUESTION: Can a deep machine learning artificial intelligence algorithm predict ploidy and implantation in a known data set of static blastocyst images, and how does its performance compare against chance and experienced embryologists?
PLANET-SNP pipeline: PLants based ANnotation and Establishment of True SNP pipeline.
Genomics
Jul 3, 2018
Acute prediction of SNPs (Single Nucleotide Polymorphisms) from high throughput sequencing data is a challenging problem, having potential to explore possible variation within plants species. For the extraction of profitable information from bulk of ...
Unpacking the artificial intelligence toolbox for embryo ploidy prediction.
Human reproduction (Oxford, England)
Dec 4, 2023
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...
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