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Accuracy of AI Laryngeal Disorder Detection

Review of 88 studies found AI systems achieved high accuracy for identifying abnormal voices, but performance declined among higher-level laryngeal disorder classifications.

  • By

  • Andrea Surnit

  • June 22, 2026

  • 4 min

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  • 1

    AI systems show high accuracy in detecting abnormal voices but lower performance in identifying specific laryngeal disorders.

  • 2

    Reported accuracies for distinguishing healthy from pathologic voices ranged from 88% to 99%, while specific disorder identification remained below 75%.

  • 3

    The review analyzed 88 studies evaluating AI approaches for laryngeal disorder detection, highlighting a decline in performance from detection to diagnosis.

  • 4

    Methodologic concerns included reliance on limited databases and sustained-vowel recordings, affecting the generalizability of AI performance.

  • 5

    Current evidence supports AI as a tool for screening and monitoring, but it cannot replace endoscopic assessment for specific diagnoses.

Original Source(s)

Accuracy of AI Laryngeal Disorder Detection

  • by Andrea Surnit

  • June 22, 2026

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