The ghost in the machine (learning)

Reflections

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Fertility and Sterility
Editorial Office, American Society for Reproductive Medicine
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VOLUME 116, ISSUE 5, P1236-1237

Authors:

Leah M. Roberts, M.D., Thomas A. Molinaro, M.D., M.S.C.E.

Abstract:

Reflections on "A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization" by Hariton et al.

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Fertility and Sterility

Editorial Office, American Society for Reproductive Medicine

Fertility and Sterility® is an international journal for obstetricians, gynecologists, reproductive endocrinologists, urologists, basic scientists and others who treat and investigate problems of infertility and human reproductive disorders.