Multicenter Clinical Validation of an Artificial Intelligence Diagnostic Classification Model for Laryngoscopy Images
This is a large multicenter clinical validation of a CADx model for laryngeal endoscopy, demonstrating generalizability and performance comparable to clinicians in discriminating between LR and HR lesions. The model's success supports its potential role in augmenting diagnostic capabilities, especially in resource-limited settings. A prospective multicenter clinical trial is underway to assess real-world clinical implementation.
Authors
- G. Kotsis
- Elisa Bellini (ORCID: https://orcid.org/0000-0003-0957-8354)
- Francesc Xavier Avilés‐Jurado (ORCID: https://orcid.org/0000-0001-5560-8097)
- Athanasios C. Sakellaridis
- Alessandro Ioppi
- Rakesh Srivastava (ORCID: https://orcid.org/0000-0002-5345-532X)
- Isabel Vilaseca
- Andriana Razou
- Giorgio Peretti
- Leonardo S. Mattos
- Francesco Mora
- Sara Moccia
- Berta Alegre
- Chiara Baldini
- Marc Larrosa
- Laura Ruiz‐Sevilla
Institutions
- Italian Institute of Technology (IT)
- University of Chieti-Pescara (IT)
- Provincia Autonoma di Trento (IT)
- Hospital Clínic de Barcelona (ES)
- St Savas Hospital (GR)
- Ingegneria dei Sistemi (Italy) (IT)
- Ospedale Policlinico San Martino (IT)
- Hospital Universitari Joan XXIII de Tarragona (ES)
- KPJ Ampang Puteri Specialist Hospital (MY)
- Universitat de Barcelona (ES)
- University of Genoa (IT)
Publication Details
- Journal
- Otolaryngology
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1002/ohn.70153
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission