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Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning.

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Title: Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning.
Authors: Koike, Hiroshi1 (AUTHOR), Harada, Miyuki1 (AUTHOR) haradam-tky@umin.ac.jp, Yoshida, Kaname2 (AUTHOR), Noda, Katsuhiko2 (AUTHOR), Tsuchida, Chihiro1 (AUTHOR), Fujiwara, Toshihiro3 (AUTHOR), Kusamoto, Akari1 (AUTHOR), Xu, Zixin1 (AUTHOR), Tanaka, Tsurugi1 (AUTHOR), Sakaguchi, Nanoka1 (AUTHOR), Kunitomi, Chisato1 (AUTHOR), Takahashi, Nozomi1 (AUTHOR), Urata, Yoko1,4 (AUTHOR), Sone, Kenbun1 (AUTHOR), Wada-Hiraike, Osamu1 (AUTHOR), Hirota, Yasushi1 (AUTHOR), Osuga, Yutaka1 (AUTHOR)
Source: Journal of Ovarian Research. 7/17/2025, Vol. 18 Issue 1, p1-13. 13p.
Database: Academic Search Ultimate
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186711379
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        Value: 10.1186/s13048-025-01732-0
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              Text: 7/17/2025
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              Y: 2025
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