| Literature DB >> 33160516 |
Carol Lynn Curchoe1, Jonas Malmsten2, Charles Bormann3, Hadi Shafiee4, Adolfo Flores-Saiffe Farias5, Gerardo Mendizabal6, Alejandro Chavez-Badiola7, Alexandros Sigaras8, Hoor Alshubbar9, Jerome Chambost10, Celine Jacques10, Chris-Alexandre Pena10, Andrew Drakeley11, Thomas Freour12, Iman Hajirasouliha13, Cristina Fontes Lindemann Hickman14, Olivier Elemento13, Nikica Zaninovic2, Zev Rosenwaks2.
Abstract
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?Keywords: Artificial intelligence; IVF; blockchain; fertility; infertility; machine learning; reproduction; reproductive medicine
Mesh：
Year: 2020 PMID： 33160516 DOI： 10.1016/j.fertnstert.2020.10.040
Source DB: PubMed Journal: Fertil Steril ISSN： 0015-0282 Impact factor: 7.329