Diagnostic accuracy of an artificial intelligence-based software in detecting supernumerary and congenitally missing teeth in panoramic radiographs
Although the AI-based model shows promise, it is not yet able to replace human assessment as the standard for detecting missing and supernumerary teeth in panoramic radiographs.
Authors
- Kostis Giannakopoulos
- Eleftherios G. Kaklamanos (ORCID: https://orcid.org/0000-0002-0513-5110)
- Argyro Kavadella (ORCID: https://orcid.org/0009-0003-0560-8373)
- Miltiadis A. Makrygiannakis (ORCID: https://orcid.org/0000-0003-2855-8623)
- Dimitrios N. Paraskevis (ORCID: https://orcid.org/0000-0001-6167-7152)
Institutions
- National and Kapodistrian University of Athens (GR)
- European University Cyprus (CY)
- Aristotle University of Thessaloniki (GR)
- Mohammed Bin Rashid University of Medicine and Health Sciences (AE)
Publication Details
- Journal
- European Journal of Orthodontics
- Published
- 2025-06-12
- DOI
- https://doi.org/10.1093/ejo/cjaf054
- Citations
- 5
- Primary Topic
- dental development and anomalies
- Type
- article
- Field-Weighted Citation Impact
- 4.03