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

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

(2022) Jørgen Berntsen et al.   PLoS One

Pseudo contrastive labeling for predicting IVF embryo developmental potential

(2022) I. Erlich et al.   Scientific Reports

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

FULL AUTOMATION OF EMBRYO EVALUATION MODELS BENEFITS FROM TRAINING ON BOTH TRANSFERRED AND DISCARDED EMBRYOS

(2021) Jørgen Berntsen et al.   FERTILITY AND STERILITY

O-123 Calibration of artificial intelligence (AI) models is necessary to reflect actual implantation probabilities with image-based embryo selection

(2021) M F Kragh et al.   HUMAN REPRODUCTION

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

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

Comparing prediction of ongoing pregnancy and live birth outcomes in patients with advanced and younger maternal age patients using KIDScore™ day 5: a large-cohort retrospective study with single vitrified-warmed blastocyst transfer

(2021) Keiichi Kato et al.   Reproductive Biology and Endocrinology

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

Performance of a deep learning based neural network in the selection of human blastocysts for implantation

(2020) Charles L Bormann et al.   eLife

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): the TRIPOD Statement

(2015) Gary S Collins et al.   BMC Medicine

Selection of embryos for transfer in IVF: ranking embryos based on their implantation potential using morphological scoring

(2014) Laura van Loendersloot et al.   REPRODUCTIVE BIOMEDICINE ONLINE