Accuracy Assessment of Human and AI-Assisted Bitewing Radiography and NIRI-Based Methods for Interproximal Caries Detection: A Histological Validation
Both the operator-conducted NIRI system and examiner radiographic assessment demonstrated superior detection capabilities compared to the AI program. Among these methods, the examiner radiographic assessment yielded the best results, followed by the NIRI system, demonstrating its potential for clinical use.
Authors
- Guillermo Pradíes (ORCID: https://orcid.org/0000-0001-9716-1385)
- María Paz Salido (ORCID: https://orcid.org/0000-0001-6580-1835)
- Natasha Batilieri Rodrigues (ORCID: https://orcid.org/0009-0007-2440-149X)
- Francisco Martínez‐Rus (ORCID: https://orcid.org/0000-0003-0040-1317)
- Alicia Miguel-Calvo
Institutions
- Universidad Complutense de Madrid (ES)
Publication Details
- Journal
- Caries Research
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1159/000546644
- Citations
- 4
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 7.16