AI in the treatment of fertility: key considerations-Reference-Cited by-同舟云学术

AI in the treatment of fertility: key considerations

Published:2020-09-29 Issue:11 Volume:37 Page:2817-2824
ISSN:1058-0468
Container-title:Journal of Assisted Reproduction and Genetics
language:en
Short-container-title:J Assist Reprod Genet

Author:

Swain Jason,VerMilyea Matthew Tex,Meseguer Marcos,Ezcurra Diego^ORCID,Ezcurra Diego,Letterie Gerard,Sánchez Pascual,Trew Geoff,Swain Jason,Meseguer Marcos,Nayot Dan,Campbell Alison,Huangv Ian,Choma Jan,Loewke Kevin,Piqueras María Paola,Nader Paul,Schindler Michael,Lippolis Eleanora,Bohl Sebastian,Kirsten Jan,Abshagen Daniel,

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Developmental Biology,Obstetrics and Gynecology,Genetics,Reproductive Medicine,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10815-020-01950-z.pdf

Reference51 articles.

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2. de Mouzon J, Goossens V, Bhattacharya S, Castilla JA, Ferraretti AP, Korsak V, et al. Assisted reproductive technology in Europe, 2006: results generated from European registers by ESHRE. Hum Reprod. 2010;25:1851–62.

3. Adamson GD, de Mouzon J, Chambers GM, Zegers-Hochschild F, Mansour R, Ishihara O, et al. International committee for monitoring assisted reproductive technology: world report on assisted reproductive technology, 2011. Fertil Steril. 2018;110:1067–80.

4. Centres for Disease Control and Prevention. Assisted reproductive technology: ART trends 2002–2011. http://www.cdc.gov/art/ART2011/section5.htm#f43. Accessed 16 Aug 2016.

5. Curchoe CL, Bormann CL. Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018. J Assist Reprod Genet. 2019;36:591–600.

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