Artificial Intelligence Models for Diagnosing Pulpitis in Adults Using a Modified Wolters Classification: A Diagnostic Accuracy Study
The AI-based system demonstrated significant potential for achieving accurate pulp diagnoses, contributing to more objective diagnostic decisions. Pain intensity in response to thermal stimuli and spontaneous pain was a key feature that allowed correct classification, highlighting its relevance in the diagnostic process.
Authors
- Claudia Loyola (ORCID: https://orcid.org/0000-0003-0916-2455)
- José M. Saavedra (ORCID: https://orcid.org/0000-0002-9644-5164)
- Claudia Brizuela (ORCID: https://orcid.org/0000-0002-6610-8183)
- Carolina Cabrera
- Juan Pablo Ferrada
- María Ignacia Valencia
Institutions
- Universidad de Los Andes, Chile (CL)
- University of Chile (CL)
Publication Details
- Journal
- International Endodontic Journal
- Published
- 2025-10-26
- DOI
- https://doi.org/10.1111/iej.70055
- Primary Topic
- Phonocardiography and Auscultation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00