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

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Bibliographic Details
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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ISSN:17572215
DOI:10.1186/s13048-025-01732-0