A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development

被引:0
作者
S. Canosa
N. Licheri
L. Bergandi
G. Gennarelli
C. Paschero
M. Beccuti
D. Cimadomo
G. Coticchio
L. Rienzi
C. Benedetto
F. Cordero
A. Revelli
机构
[1] University of Turin,Gynecology and Obstetrics 1U, Physiopathology of Reproduction and IVF Unit, Department of Surgical Sciences, S. Anna Hospital
[2] IVIRMA Global Research Alliance,Department of Computer Science
[3] Livet,Department of Oncology
[4] University di Turin,Department of Biomolecular Sciences
[5] University of Turin,Gynecology and Obstetrics 2U, Department of Surgical Sciences, S. Anna Hospital
[6] IVIRMA Global Research Alliance,undefined
[7] Genera,undefined
[8] Clinica Valle Giulia,undefined
[9] IVIRMA Global Research Alliance,undefined
[10] 9.Baby,undefined
[11] University of Urbino “Carlo Bo”,undefined
[12] University of Turin,undefined
来源
Journal of Ovarian Research | / 17卷
关键词
Assisted reproduction; Blastocyst development; Artificial intelligence; Machine learning; Embryo developmental patterns;
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[1]  
Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology A(2011)The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting Hum Reprod Oxf Engl 26 1270-83
[2]  
Storr CA(2017)Inter-observer and intra-observer agreement between embryologists during selection of a single day 5 embryo for transfer: a multicenter study Hum Reprod Oxf Engl 32 307-14
[3]  
Venetis S(2010)Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage Nat Biotechnol 28 1115-21
[4]  
Cooke S(2020)Good practice recommendations for the use of time-lapse technology† Hum Reprod Open 2020 hoaa008-20
[5]  
Kilani W(2017)Time-lapse culture with morphokinetic embryo selection improves pregnancy and live birth chances and reduces early pregnancy loss: a meta-analysis Reprod Biomed Online 35 511-71
[6]  
Ledger CC(2011)The use of morphokinetics as a predictor of embryo implantation Hum Reprod Oxf Engl 26 2658-401
[7]  
Wong KE(2014)Time-lapse embryo imaging for improving reproductive outcomes: systematic review and meta-analysis Ultrasound Obstet Gynecol off J Int Soc Ultrasound Obstet Gynecol 44 394-30
[8]  
Loewke NL(2015)A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go? J Assist Reprod Genet 32 1025-26
[9]  
Bossert B(2017)Does time-lapse imaging have favorable results for embryo incubation and selection compared with conventional methods in clinical in vitro fertilization? A meta-analysis and systematic review of randomized controlled trials PLoS ONE 12 e0178720-9
[10]  
Behr CJ(2019)Controversies in ART: considerations and risks for uninterrupted embryo culture Reprod Biomed Online 39 19-54