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The Human Voice as a Digital Health Solution Leveraging Artificial Intelligence.

Pratyusha Muddaloor1, Bhavana Baraskar2, Hriday Shah3

  • 1Department of Internal Medicine, Lower Bucks Hospital, Bristol, PA 19007, USA.

Sensors (Basel, Switzerland)
|September 19, 2025
PubMed
Summary

Voice analysis using artificial intelligence (AI) offers a novel diagnostic tool. Machine learning models excel at identifying vocal biomarkers for various diseases, enhancing healthcare insights and patient privacy.

Keywords:
artificial intelligencevocal biomarkervocal featuresvoicevoice analysis

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Area of Science:

  • Computational Linguistics
  • Biomedical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • The human voice serves as a crucial communication medium and reflects emotional states.
  • Vocal disruptions can be analyzed as potential biomarkers for disease diagnosis.
  • Conversational artificial intelligence (AI) powers voice-enabled technologies for human-machine interaction.

Purpose of the Study:

  • To review artificial intelligence (AI) models applied to vocal analysis for diagnostic purposes.
  • To explore the outcomes and clinical applications of vocal biomarkers.
  • To address ethical considerations, particularly data privacy and security.

Main Methods:

  • Extraction of relevant vocal features from audio recordings.
  • Analysis of extracted features using neural networks and machine learning (ML) models.
  • Comparison of ML models against traditional spectral analysis techniques.

Main Results:

  • Machine learning models demonstrate superiority over spectral analysis in integrating complex vocal feature data.
  • Vocal biomarkers show potential in diagnosing neurological disorders (e.g., Parkinson's, Alzheimer's), psychological conditions, and other diseases (e.g., DM, CHF, CAD, GERD, pulmonary diseases, COVID-19).
  • Encryption methods can mitigate privacy and security concerns associated with patient-identifiable vocal data.

Conclusions:

  • AI-driven vocal analysis represents a promising non-invasive diagnostic tool.
  • The integration of vocal biomarkers into healthcare can significantly enhance predictive analytics and disease management.
  • Continued advancements in AI are expanding the potential of voice as a digital health solution, with privacy safeguards being paramount.