A systematic review of explainable artificial intelligence methods for speech-based cognitive decline detection - Top-Institutions - MDSpire

A systematic review of explainable artificial intelligence methods for speech-based cognitive decline detection

  • By

  • Ravi Shankar

  • Ziyu Goh

  • Fiona Devi

  • Qian Xu

  • November 26, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Computational Linguistics
    • Neurology

  • #2

    University of California, San Francisco (UCSF) Memory and Aging Center
    University of California, San Francisco (UCSF) Memory and Aging Center

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Cognitive Neuroscience
    • Speech and Language Pathology

  • #3

    Johns Hopkins University - Department of Neurology and Applied Physics Laboratory
    Johns Hopkins University - Department of Neurology and Applied Physics Laboratory

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Biomedical Engineering
    • Artificial Intelligence

  • #4

    University of Cambridge - Department of Clinical Neurosciences and Computer Laboratory
    University of Cambridge - Department of Clinical Neurosciences and Computer Laboratory

    Cambridge, UK

    Key Differentiators

    • Neurology
    • Machine Learning
    • Speech Processing

  • #5

    Mayo Clinic - Department of Neurology
    Mayo Clinic - Department of Neurology

    Rochester, MN

    Key Differentiators

    • Neurology
    • Geriatrics
    • Clinical Informatics

Original Source(s)

A systematic review of explainable artificial intelligence methods for speech-based cognitive decline detection

  • by Ravi Shankar, Ziyu Goh, Fiona Devi, Qian Xu

  • November 26, 2025

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