Can artificial intelligence drive optimal sperm selection for in vitro fertilization?

Reflections

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Fertility and Sterility
Editorial Office, American Society for Reproductive Medicine
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VOLUME 115, ISSUE 4, P883

Authors:

Darshan P. Patel, M.D., Kelli X. Gross, M.D., James M. Hotaling, M.D., M.S.

Abstract:

Reflections on "Machine-learning algorithm incorporating capacitated sperm intracellular pH predicts conventional in vitro fertilization success in normospermic patients" by Gunderson 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.