Faces Of Digital Health

Voice tech and AI: Is Detecting Diseases Based on 45 s of Voice Accurate? (Henry O'Connell)

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Sinopse

Ambient documentation is becoming normal in clinics. But the most interesting “voice” capability may not be transcription at all.In the latest episode of Faces of Digital Health, Henry O'Connell (Canary Speech) explains why voice biomarkers stalled for decades: the field analyzed words, not the neurological signal behind speech production.Canary’s approach focuses on the “primary data layer”—how the central nervous system drives respiration, vocal cord vibration, and articulation in real conversational speech. A few details that stood out: ⏱️ ~45 seconds of conversation can be enough for assessment