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

【Author】 Lynn Curchoe, Carol; 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; Lindemann Hickman, Cristina Fontes; Elemento, Olivier; Zaninovic, Nikica; Rosenwaks, Zev

【Source】FERTILITY AND STERILITY

【影响因子】7.490

【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? ((C)2020 by American Society for Reproductive Medicine.)

【Keywords】Artificial intelligence; machine learning; reproduction; reproductive medicine; blockchain; IVF; fertility; infertility

【发表时间】2020 NOV

【收录时间】2022-01-02

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