ARTIFICIAL INTELLIGENCE ASSESSMENT OF TIME-LAPSE IMAGES CAN PREDICT WITH 77% ACCURACY WHETHER A HUMAN EMBRYO CAPABLE OF ACHIEVING A PREGNANCY WILL MISCARRY.
| dc.contributor.author | Hariharan, Rishabh | |
| dc.contributor.author | He, Peter | |
| dc.contributor.author | Meseguer, Marcos | |
| dc.contributor.author | Toschi, Marco | |
| dc.contributor.author | Celso Rocha, Jose [UNESP] | |
| dc.contributor.author | Zaninovic, Nikica | |
| dc.contributor.author | Malmsten, Jonas | |
| dc.contributor.author | Zhan, Qiansheng | |
| dc.contributor.author | Hickman, Cristina | |
| dc.contributor.institution | Imperial Coll London | |
| dc.contributor.institution | IVIRMA Global | |
| dc.contributor.institution | IVIRMA | |
| dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
| dc.contributor.institution | Ronald O Perlman & Claudia Cohen Ctr Reprod Med | |
| dc.date.accessioned | 2020-12-10T16:57:04Z | |
| dc.date.available | 2020-12-10T16:57:04Z | |
| dc.date.issued | 2019-09-01 | |
| dc.description.affiliation | Imperial Coll London, London, England | |
| dc.description.affiliation | IVIRMA Global, Valencia, Spain | |
| dc.description.affiliation | IVIRMA, Rome, Italy | |
| dc.description.affiliation | State Univ Sao Paulo Julio de Mesquita Filho, Assis, Brazil | |
| dc.description.affiliation | Ronald O Perlman & Claudia Cohen Ctr Reprod Med, New York, NY USA | |
| dc.description.affiliationUnesp | State Univ Sao Paulo Julio de Mesquita Filho, Assis, Brazil | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description.sponsorshipId | FAPESP: 2017 / 19323-5 | |
| dc.format.extent | E38-E39 | |
| dc.identifier | http://dx.doi.org/10.1016/j.fertnstert.2019.07.230 | |
| dc.identifier.citation | Fertility And Sterility. New York: Elsevier Science Inc, v. 112, n. 3, p. E38-E39, 2019. | |
| dc.identifier.doi | 10.1016/j.fertnstert.2019.07.230 | |
| dc.identifier.issn | 0015-0282 | |
| dc.identifier.uri | http://hdl.handle.net/11449/194867 | |
| dc.identifier.wos | WOS:000487821300092 | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier B.V. | |
| dc.relation.ispartof | Fertility And Sterility | |
| dc.source | Web of Science | |
| dc.title | ARTIFICIAL INTELLIGENCE ASSESSMENT OF TIME-LAPSE IMAGES CAN PREDICT WITH 77% ACCURACY WHETHER A HUMAN EMBRYO CAPABLE OF ACHIEVING A PREGNANCY WILL MISCARRY. | en |
| dc.type | Resumo | |
| dcterms.license | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
| dcterms.rightsHolder | Elsevier B.V. | |
| unesp.author.orcid | 0000-0002-0094-2634[5] |