首页|Machine learning-based prediction of pregnancy outcomes in couples with non-obstructive azoospermia using micro-TESE for ICSI: a retrospective cohort study

Machine learning-based prediction of pregnancy outcomes in couples with non-obstructive azoospermia using micro-TESE for ICSI: a retrospective cohort study

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Cryopreserved spermatozoaFresh spermatozoaLogistic regressionMicrodissection testicular sperm extraction

Jia Lei、Chen Pei-Gen、Chen Li-Na、Fang Cong、Zhang Jing、Chen Pan-Yu、Zhu Yong-Qing

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Reproductive Medicine Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China

2GuangDong Engineering Technology Research Center of Fertility Preservation, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China

3Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China

Cryopreserved spermatozoa Fresh spermatozoa Logistic regression Microdissection testicular sperm extraction

National Natural Science Foundation of China

82271651

2024

10.1097/RD9.0000000000000080

生殖与发育医学(英文)
上海计划生育科学研究所

生殖与发育医学(英文)

影响因子：0.183
ISSN：2096-2924
年,卷(期)：2024.8(1)
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