Unpacking the artificial intelligence toolbox for embryo ploidy prediction.

Serdarogullari, Munevver; Liperis, George; Sharma, Kashish; Ammar, Omar F; Uraji, Julia; Cimadomo, Danilo; Alteri, Alessandra; Popovic, Mina; Fraire-Zamora, Juan J

Serdarogullari, Munevver; Liperis, George; Sharma, Kashish; Ammar, Omar F; Uraji, Julia; Cimadomo, Danilo; Alteri, Alessandra; Popovic, Mina; Fraire-Zamora, Juan J.

Afiliação

Serdarogullari M; Department of Histology and Embryology, Faculty of Medicine, Cyprus International University, Northern Cyprus, Turkey.
Liperis G; Westmead Fertility Centre, Institute of Reproductive Medicine, University of Sydney, Westmead, NSW, Australia.
Sharma K; HealthPlus Fertility Center, HealthPlus Network of Specialty Centers, Abu Dhabi, United Arab Emirates.
Ammar OF; Biomaterials Cluster, Bernal Institute, University of Limerick, Limerick, Ireland.
Uraji J; School of Engineering, Faculty of Science and Engineering, University of Limerick, Limerick, Ireland.
Cimadomo D; IVF Laboratory, TFP Düsseldorf GmbH, Düsseldorf, Germany.
Alteri A; IVIRMA Global Research Alliance, Genera, Clinica Valle Giulia, Rome, Italy.
Popovic M; IRCCS San Raffaele Scientific Institute, Milan, Italy.
Fraire-Zamora JJ; EUGIN Group, R&D, Barcelona, Spain.

Hum Reprod ; 38(12): 2538-2542, 2023 Dec 04.

Article em En | MEDLINE | ID: mdl-37877410

Assuntos

Inteligência Artificial; Ploidias; Humanos; Embrião de Mamíferos

Palavras-chave

advanced maternal age; artificial intelligence; embryo assessment; embryo ploidy; machine learning; morphokinetics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ploidias / Inteligência Artificial Limite: Humans Idioma: En Revista: Hum Reprod Assunto da revista: MEDICINA REPRODUTIVA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Turquia

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