A comparison of 12 machine learning models developed to predict ploidy, using a morphokinetic meta-dataset of 8147 embryos.

Bamford, Thomas; Easter, Christina; Montgomery, Sue; Smith, Rachel; Dhillon-Smith, Rima K; Barrie, Amy; Campbell, Alison; Coomarasamy, Arri

Bamford, Thomas; Easter, Christina; Montgomery, Sue; Smith, Rachel; Dhillon-Smith, Rima K; Barrie, Amy; Campbell, Alison; Coomarasamy, Arri.

Afiliación

Bamford T; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.
Easter C; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.
Montgomery S; Care Fertility Headquarters, Nottingham, UK.
Smith R; Care Fertility Headquarters, Nottingham, UK.
Dhillon-Smith RK; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.
Barrie A; Care Fertility Headquarters, Nottingham, UK.
Campbell A; Care Fertility Headquarters, Nottingham, UK.
Coomarasamy A; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.

Hum Reprod ; 38(4): 569-581, 2023 04 03.

Article en En | MEDLINE | ID: mdl-36825452

Asunto(s)

Diagnóstico Preimplantación; Embarazo; Masculino; Humanos; Femenino; Diagnóstico Preimplantación/métodos; Estudios de Cohortes; Estudios Prospectivos; Semen; Blastocisto; Aneuploidia; Estudios Retrospectivos

Palabras clave

aneuploid; artificial intelligence; euploid; machine learning; model; morphokinetcs; ploidy

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diagnóstico Preimplantación Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Pregnancy Idioma: En Revista: Hum Reprod Asunto de la revista: MEDICINA REPRODUTIVA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

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