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

Carol Lynn Curchoe; Jonas Malmsten; Charles Bormann; Hadi Shafiee; Adolfo Flores-Saiffe Farias; Gerardo Mendizabal; Alejandro Chavez-Badiola; Alexandros Sigaras; Hoor Alshubbar; Jerome Chambost; Celine Jacques; Chris-Alexandre Pena; Andrew Drakeley; Thomas Freour; Iman Hajirasouliha; Cristina Fontes Lindemann Hickman; Olivier Elemento; Nikica Zaninovic; Zev Rosenwaks

doi:10.1016/j.fertnstert.2020.10.040

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

Fertil Steril. 2020 Nov;114(5):934-940. doi: 10.1016/j.fertnstert.2020.10.040.

Authors

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

Affiliations

¹ Colorado Center for Reproductive Medicine, Newport Beach, California. Electronic address: cburton@fertilitylabsciences.com.
² The Ronald O. Perelman and Claudia Cohen Center for Reproductive Medicine, Weill Cornell Medicine, New York, New York.
³ Massachusetts General Hospital, Boston, Massahusetts.
⁴ Brigham and Women's Hospital, Harvard Medical School, Boston, Massahusetts.
⁵ IVF 2.0 LTD, Merseyside, United Kingdom.
⁶ IVF 2.0 LTD, Merseyside, United Kingdom; Departamento de Ciencias Computacionales, Universidad de Guadalajara, Guadalajara.
⁷ IVF 2.0 LTD, Merseyside, United Kingdom; New Hope Fertility Center, Mexico City, Mexico.
⁸ Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York.
⁹ Apricity, Paris, France; Institute of Reproduction and Developmental Biology, Imperial College London, London, United Kingdom.
¹⁰ Apricity, Paris, France.
¹¹ Hewitt Fertility Centre, Liverpool Women's Hospital, Liverpool, United Kingdom.
¹² Service de médecine et biologie de la reproduction, CHU de Nantes, Nantes, France; Centre de Recherche en Transplantation et Immunologie, Inserm, Université de Nantes, Nantes, France.
¹³ Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York.
¹⁴ Apricity, Paris, France; Institute of Reproduction and Developmental Biology, Imperial College London, London, United Kingdom; TMRW Life Sciences, New York, New York.

PMID: 33160516
DOI: 10.1016/j.fertnstert.2020.10.040

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.

Publication types

Review

MeSH terms

Animals
Artificial Intelligence / trends*
Biomedical Research / methods
Biomedical Research / trends*
Fertilization in Vitro / methods
Fertilization in Vitro / trends*
Forecasting
Humans
Machine Learning / trends
Reproductive Medicine / methods
Reproductive Medicine / trends*