Multimodal machine learning for menopause status prediction using LLM-extracted ultrasound features - Top-Institutions - MDSpire

Multimodal machine learning for menopause status prediction using LLM-extracted ultrasound features

  • By

  • Weiwei Yin

  • Zhengyuan Shen

  • Chun Feng

  • Xia Zhang

  • Sihao Shen

  • Yiyue Jiang

  • Zhenbo Cheng

  • Lihui Wang

  • Ling Liu

  • July 2, 2026

  • 0 min

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Top Institutions in Obgyn

Brief introduction explaining scope and methodology.

  • #1

    Hangzhou Red Cross Hospital
    Hangzhou Red Cross Hospital

    Hangzhou, Zhejiang

    Key Differentiators

    • Obstetrics and Gynecology

  • #2

    Second Affiliated Hospital of Zhejiang University School of Medicine
    Second Affiliated Hospital of Zhejiang University School of Medicine

    Hangzhou, Zhejiang

    Key Differentiators

    • Obstetrics and Gynecology

  • #3

    FHHMU
    FHHMU

    Unknown, Unknown

    Key Differentiators

    • Obstetrics and Gynecology

  • #4

    NewYork-Presbyterian Hospital
    NewYork-Presbyterian Hospital

    New York, New York

    Key Differentiators

    • Obstetrics and Gynecology

Original Source(s)

Multimodal machine learning for menopause status prediction using LLM-extracted ultrasound features

  • by Weiwei Yin, Zhengyuan Shen, Chun Feng, Xia Zhang, Sihao Shen, Yiyue Jiang, Zhenbo Cheng, Lihui Wang, Ling Liu

  • July 2, 2026

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