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  3. Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential.

Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential.

Fecha de publicación: Fecha Ahead of Print:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Bori L
  • Paya E
  • Alegre L
  • Viloria TA
  • Remohi JA
  • Naranjo V

Grupos

Abstract

To describe novel embryo features capable of predicting implantation potential as input data for an artificial neural network (ANN) model.

Datos de la publicación

ISSN/ISSNe:
0015-0282, 1556-5653

FERTILITY AND STERILITY  ELSEVIER SCIENCE INC

Tipo:
Article
Páginas:
1232-1241
PubMed:
32917380
Factor de Impacto:
2,272 SCImago ℠
Cuartil:
Q1 SCImago ℠

Citas Recibidas en Web of Science: 73

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Keywords

  • Embryo parameters, artificial intelligence, artificial neural network, implantation, time-lapse

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