Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation
Author:
Publisher
Elsevier BV
Subject
Developmental Biology,Reproductive Medicine,Obstetrics and Gynaecology
Reference24 articles.
1. Morphology vs morphokinetics: a retrospective comparison of interobserver and intra-observer agreement between embryologists on blastocysts with known implantation outcome;Adolfsson;JBRA Assist. Reprod.,2018
2. Time-lapse systems for embryo incubation and assessment in assisted reproduction;Armstrong;Cochrane Database Syst. Rev.,2019
3. Consistency and objectivity of automated embryo assessments using deep neural networks;Bormann;Fertil. Steril.,2020
4. Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning;Chavez-Badiola;Sci. Rep.,2020
5. In vitro culture of human blastocysts;Gardner,1999
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2. Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imaging;Nature Communications;2024-09-05
3. Decoupling Implantation Prediction and Embryo Ranking in Machine Learning: The Impact of Clinical Data and Discarded Embryos;Advanced Intelligent Systems;2024-09-02
4. Visual interpretability of image-based classification models by generative latent space disentanglement applied to in vitro fertilization;Nature Communications;2024-08-27
5. Testing an artificial intelligence algorithm to predict fetal heartbeat of vitrified-warmed blastocysts from a single image: predictive ability in different settings;Human Reproduction;2024-08-22
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