Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?

Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?

Artificial intelligence (AI) systems have been proposed for reproductive medicine since 1997. Although AI is the main driver of emergent technologies in reproduction, such as robotics, Big Data, and internet of things, it will continue to be the engine for technological innovation for the foreseeabl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Fertility and sterility 2020-11, Vol.114 (5), p.934-940
Hauptverfasser: Curchoe, Carol Lynn, Malmsten, Jonas, Bormann, Charles, Shafiee, Hadi, Flores-Saiffe Farias, Adolfo, Mendizabal, Gerardo, Chavez-Badiola, Alejandro, Sigaras, Alexandros, Alshubbar, Hoor, Chambost, Jerome, Jacques, Celine, Pena, Chris-Alexandre, Drakeley, Andrew, Freour, Thomas, Hajirasouliha, Iman, Hickman, Cristina Fontes Lindemann, Elemento, Olivier, Zaninovic, Nikica, Rosenwaks, Zev
Format: Artikel
Sprache:eng
Schlagworte:
Animals
Artificial Intelligence
Biomedical Research
blockchain
fertility
Fertilization in Vitro
Forecasting
Humans
infertility
IVF
Life Sciences
Machine Learning
reproduction
Reproductive Medicine
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Artificial intelligence (AI) systems have been proposed for reproductive medicine since 1997. Although AI is the main driver of emergent technologies in reproduction, such as robotics, Big Data, and internet of things, it will continue to be the engine for technological innovation for the foreseeable future. What does the future of AI research look like?
ISSN:0015-0282
1556-5653
DOI:10.1016/j.fertnstert.2020.10.040