The ghost in the machine (learning)

Reflections
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Fertility and Sterility
Editorial Office, American Society for Reproductive Medicine
The ghost in the machine (learning)
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The ghost in the machine (learning)

Human brains are uniquely suited to generate complex associations from small amounts of data by drawing on past experiences and prior education (1). Additionally, as physicians, we often rely on instinct rather than on concrete data to make our day-to-day decisions. However, humans are notoriously f…

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.

Read the full text here.

Go to the profile of Fertility and Sterility
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. 

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