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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3464) Clinical Information and Decision Making (3470) Decision Support for Health Professionals (2081) Artificial Intelligence (4469) Responsible Health AI (185) Voice Phenotyping and Vocal Biomarkers (30)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83790, first published .
Woman speaking, with a voice analysis waveform and spectrogram

Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review

Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review

Authors of this article:

Mohamed Ebraheem1 Author Orcid Image ;   Jamie Toghranegar2 Author Orcid Image ;   Bridge2AI-Voice Consortium3 ;   Yael Bensoussan2 Author Orcid Image ;   John Michael Templeton1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Mohamed Ebraheem   1 , MSCS ;   Jamie Toghranegar   2 , SLPD ;   Bridge2AI-Voice Consortium   3 ;   Yael Bensoussan   2 * , MD ;   John Michael Templeton   1, 3 * , PhD

1 Bellini College of Artificial Intelligence, Cybersecurity and Computing, University of South Florida, Tampa, FL, United States

2 Department of Otolaryngology Head and Neck Surgery, USF Health Voice Center, University of South Florida, Tampa, FL, United States

3 Medical Engineering, College of Engineering, University of South Florida, Tampa, FL, United States

*these authors contributed equally

Corresponding Author:

  • Mohamed Ebraheem, MSCS
  • Bellini College of Artificial Intelligence, Cybersecurity and Computing, University of South Florida
  • 4202 East Fowler Avenue
  • Tampa, FL 33620
  • United States
  • Phone: 1 8135850780
  • Email: mohamedusama@usf.edu