Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?
A discussion of the what the future of artificial intelligence in reproductive medicine will look like.
Published
VOLUME 114, ISSUE 5, P934-940
Authors:
Carol Lynn Curchoe, Ph.D., Jonas Malmsten, M.S., D.P.S., Charles Bormann, Ph.D., Hadi Shafiee, Ph.D., Adolfo Flores-Saiffe Farias, M.Sc., Ph.D., Gerardo Mendizabal, Ph.D., Alejandro Chavez-Badiola, M.D., Alexandros Sigaras, M.S., Hoor Alshubbar, M.Sc., Jerome Chambost, M.Sc., Celine Jacques, Ph.D., Chris-Alexandre Pena, M.Sc., Andrew Drakeley, M.B.Ch.B., M.D., Thomas Freour, Pharm.D., Ph.D., Iman Hajirasouliha, Ph.D., Cristina Fontes Lindemann Hickman, Ph.D., Olivier Elemento, Ph.D., Nikica Zaninovic, Ph.D., Zev Rosenwaks, M.D.
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?
Comments
Insightful and interesting paper!