The hidden gap in artificial intelligence for embryo selection: instability, variability, and their clinical implications.

Autores de IIS La Fe

• Lorena Bori Arnal

  Autor

• 

  Marcos Meseguer Escrivá

  Autor

Grupos

• Biomarcadores, Medicina Genómica, Estadística y Análisis masivo de datos en Reproducción humana asistida

Abstract

[No abstract available]

Keywords

• algorithm; area under the curve; artificial intelligence; clinical evaluation; clinical examination; clinical laboratory; clinical outcome; clinical practice; clinical significance; clinician; convolutional neural network; deep learning; Editorial; embryo development; embryo selection; embryo transfer; embryologist; human; in vitro fertilization; infertility therapy; machine learning; performance indicator; predictive model; randomized controlled trial (topic); reliability; semen parameters; time to pregnancy; treatment outcome; adult; controlled study; editorial; embryo