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Published on in Vol 28 (2026)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94285, first published .
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Detection of Pathological Voice Samples Using a Text-to-Speech–Inspired Approach With Multiple Model Architectures: Method Development and Comparative Evaluation Study

Detection of Pathological Voice Samples Using a Text-to-Speech–Inspired Approach With Multiple Model Architectures: Method Development and Comparative Evaluation Study

Marie Sophie Walter   1, 2 * , Msc ;   Muhittin Demir   3 * ;   Mattias Heinrich   4 , Dr ;   Felix Nensa   1, 2 , Dr med ;   Stephan Lang   3 , Dr med ;   Nadia Sadok   3 * , MD, PhD ;   René Hosch   1, 2 * , Dr rer medic

1 Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany

2 Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany

3 Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Essen, University Duisburg-Essen, Essen, Germany

4 University of Lübeck, Institute of Medical Informatics, Lübeck, Germany

*these authors contributed equally

Corresponding Author:

  • René Hosch, Dr rer medic
  • Institute of Diagnostic and Interventional Radiology and Neuroradiology
  • University Hospital Essen
  • Hufefelandstraße 55
  • Essen 45147
  • Germany
  • Phone: 49 20172377817
  • Email: rene.hosch@uk-essen.de