Voice-based machine learning for rapid screening of bipolar disorder and major depressive disorder in children and adolescents: a robust and low-complexity diagnostic model - Top-Institutions - MDSpire

Voice-based machine learning for rapid screening of bipolar disorder and major depressive disorder in children and adolescents: a robust and low-complexity diagnostic model

  • By

  • Zhaojun Li

  • Xushan Li

  • Zhuo Wang

  • Jie Gao

  • Jie Luo

  • Fan He

  • Yi Zheng

  • Lihui Feng

  • Jihua Lu

  • January 30, 2026

  • 0 min

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Top Institutions in Psychiatry

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Psychiatry
    • Biomedical Engineering
    • Machine Learning

  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Psychiatry
    • Biomedical Informatics
    • Artificial Intelligence

  • #3

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Psychiatry
    • Neuroengineering
    • Data Science

  • #4

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Psychiatry
    • Biomedical Engineering
    • Computational Medicine

  • #5

    University of Pennsylvania (Penn Medicine)
    University of Pennsylvania (Penn Medicine)

    Philadelphia, PA

    Key Differentiators

    • Psychiatry
    • Biomedical Informatics
    • Machine Learning

Original Source(s)

Voice-based machine learning for rapid screening of bipolar disorder and major depressive disorder in children and adolescents: a robust and low-complexity diagnostic model

  • by Zhaojun Li, Xushan Li, Zhuo Wang, Jie Gao, Jie Luo, Fan He, Yi Zheng, Lihui Feng, Jihua Lu

  • January 30, 2026

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