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Artificial Intelligence (1751) Obstetrics, Gynecology, and Reproductive Medicine (279) Decision Support for Health Professionals (1344) Development and Evaluation of Research Methods, Instruments and Tools (637) Imaging Informatics (235) Machine Learning (1745)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52637, first published .
Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study

Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study

Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study

Authors of this article:

Hyung Min Kim1 Author Orcid Image ;   Hyoeun Kang1 Author Orcid Image ;   Chaeyoon Lee1 Author Orcid Image ;   Jong Hyuk Park2 Author Orcid Image ;   Mi Kyung Chung3 Author Orcid Image ;   Miran Kim4 Author Orcid Image ;   Na Young Kim5 Author Orcid Image ;   Hye Jun Lee6 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics
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New in JMIR: Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: #Survey-Based Prospective #Study https://t.co/u5J2dp08cX https://t.co/CEY56qMwcm

6:59 PM · Jun 03, 2024

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: #Survey-Based Prospective #Study htt…

6:59 PM · Jun 03, 2024

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Tom Bellis Tom Bellis @tommybellis

Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study https://t.co/16gf11BDu8 https://t.co/NpXFRL4ZPy

8:25 PM · Jun 04, 2024

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