Development and validation of a multimodal interpretable machine learning model for the identification of osteoporosis in patients with type 2 diabetes mellitus: a multicenter retrospective study - Top-Institutions - MDSpire

Development and validation of a multimodal interpretable machine learning model for the identification of osteoporosis in patients with type 2 diabetes mellitus: a multicenter retrospective study

  • By

  • Jihao Cheng

  • Chuanjiang Liu

  • Mengyin Gu

  • Dongying Su

  • Jingyun Liao

  • July 1, 2026

  • 0 min

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Top Institutions in Endocrinology

Brief introduction explaining scope and methodology.

  • #1

    Second Affiliated Hospital of Zhejiang Chinese Medical University
    Second Affiliated Hospital of Zhejiang Chinese Medical University

    Hangzhou, Zhejiang

    Key Differentiators

    • Endocrinology

  • #2

    Zhejiang Xiaoshan Hospital
    Zhejiang Xiaoshan Hospital

    Hangzhou, Zhejiang

    Key Differentiators

    • Endocrinology

  • #3

    University of Texas
    University of Texas

    Austin, Texas

    Key Differentiators

    • Endocrinology

  • #4

    Tongji University
    Tongji University

    Shanghai, Shanghai

    Key Differentiators

    • Endocrinology

  • #5

    Diabetes Prevention Program
    Diabetes Prevention Program

    N/A, N/A

    Key Differentiators

    • Endocrinology

Original Source(s)

Development and validation of a multimodal interpretable machine learning model for the identification of osteoporosis in patients with type 2 diabetes mellitus: a multicenter retrospective study

  • by Jihao Cheng, Chuanjiang Liu, Mengyin Gu, Dongying Su, Jingyun Liao

  • July 1, 2026

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