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

O-240 Does embryo categorisation by existing artificial intelligence, morphokinetic, or morphological embryo selection models correlate with blastocyst euploidy rates?

(2023) K Kato et al.   HUMAN REPRODUCTION

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

(2023) Jacob Theilgaard Lassen et al.   Scientific Reports

Towards Automation in IVF: Pre-Clinical Validation of a Deep Learning-Based Embryo Grading System during PGT-A Cycles

(2023) Danilo Cimadomo et al.   Journal of Clinical Medicine

Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences

(2022) Jørgen Berntsen et al.   PLoS One

Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos

(2022) Kevin Loewke et al.   FERTILITY AND STERILITY

Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-centre, large-cohort retrospective study

(2022) Satoshi Ueno et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Association of a deep learning-based scoring system with morphokinetics and morphological alterations in human embryos

(2022) Kenji Ezoe et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large cohort retrospective study

(2021) Satoshi Ueno et al.   FERTILITY AND STERILITY

Embryo selection with artificial intelligence: how to evaluate and compare methods?

(2021) Mikkel Fly Kragh et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF

(2020) M VerMilyea et al.   HUMAN REPRODUCTION

Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation

(2020) Alejandro Chavez-Badiola et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3

(2016) Bjørn Molt Petersen et al.   HUMAN REPRODUCTION

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

(2015) Karel G.M. Moons et al.   ANNALS OF INTERNAL MEDICINE

Assessing discriminative ability of risk models in clustered data

(2014) David van Klaveren et al.   BMC Medical Research Methodology

Area under Precision-Recall Curves for Weighted and Unweighted Data

(2014) Jens Keilwagen et al.   PLoS One

Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve

(2009) H. Janes et al.   BIOMETRIKA

Assessing the Performance of Prediction Models

(2009) Ewout W. Steyerberg et al.   EPIDEMIOLOGY