Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer

Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective

(2019) Celine Blank et al.   FERTILITY AND STERILITY

Are cleavage anomalies, multinucleation, or specific cell cycle kinetics observed with time-lapse imaging predictive of embryo developmental capacity or ploidy?

(2018) Nina Desai et al.   FERTILITY AND STERILITY

Time-lapse imaging algorithms rank human preimplantation embryos according to the probability of live birth

(2018) Simon Fishel et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Examining the efficacy of six published time-lapse imaging embryo selection algorithms to predict implantation to demonstrate the need for the development of specific, in-house morphokinetic selection algorithms

(2017) Amy Barrie et al.   FERTILITY AND STERILITY

Cytoplasmic movement profiles of mouse surrounding nucleolus and not-surrounding nucleolus antral oocytes during meiotic resumption

(2017) Thi Thu Hien Bui et al.   MOLECULAR REPRODUCTION AND DEVELOPMENT

Morphokinetic analysis and embryonic prediction for blastocyst formation through an integrated time-lapse system

(2016) Yamileth Motato et al.   FERTILITY AND STERILITY

Does the addition of time-lapse morphokinetics in the selection of embryos for transfer improve pregnancy rates? A randomized controlled trial

(2016) Linnea R. Goodman et al.   FERTILITY AND STERILITY

Inter-observer and intra-observer agreement between embryologists during selection of a single Day 5 embryo for transfer: a multicenter study

(2016) Ashleigh Storr et al.   HUMAN REPRODUCTION

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

Do morphokinetic data sets inform pregnancy potential?

(2016) Robert Milewski et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Assessment of human embryo development using morphological criteria in an era of time-lapse, algorithms and ‘OMICS’: is looking good still important?

(2016) David K. Gardner et al.   MOLECULAR HUMAN REPRODUCTION

Conventional morphology performs better than morphokinetics for prediction of live birth after day 2 transfer

(2016) Aisling Ahlstrom et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Diagnosis of human preimplantation embryo viability

(2015) David K. Gardner et al.   HUMAN REPRODUCTION UPDATE

Morphokinetic parameters using time-lapse technology and day 5 embryo quality: a prospective cohort study

(2015) Ashleigh Storr et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Clinical validation of embryo culture and selection by morphokinetic analysis: a randomized, controlled trial of the EmbryoScope

(2014) Irene Rubio et al.   FERTILITY AND STERILITY

The use of morphokinetics as a predictor of  implantation: a multicentric study to define and validate an algorithm for embryo selection

(2014) N. Basile et al.   HUMAN REPRODUCTION

Improving embryo selection using a computer-automated time-lapse image analysis test plus day 3 morphology: results from a prospective multicenter trial

(2013) Joe Conaghan et al.   FERTILITY AND STERILITY

Embryo incubation and selection in a time-lapse monitoring system improves pregnancy outcome compared with a standard incubator: a retrospective cohort study

(2012) Marcos Meseguer et al.   FERTILITY AND STERILITY

Limited implantation success of direct-cleaved human zygotes: a time-lapse study

(2012) Irene Rubio et al.   FERTILITY AND STERILITY

Single embryo transfer reduces the risk of perinatal mortality, a population study

(2012) E. A. Sullivan et al.   HUMAN REPRODUCTION

The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting

(2011) et al.   HUMAN REPRODUCTION

Glucose consumption of single post-compaction human embryos is predictive of embryo sex and live birth outcome

(2011) D. K. Gardner et al.   HUMAN REPRODUCTION

The coming of age of artificial intelligence in medicine

(2008) Vimla L. Patel et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE