Abstract
Artificial intelligence based on convolutional neural networks has a remarkable ability to detect different conditions observed in regular clinical evaluations in panoramic radiographs, displaying excellent performance. Based on these findings, it can be confidently stated that deep learning-based models have great potential to improve routine clinical practices for physicians. (Int J Comput Dent 2025;28(4):309-0; doi: 10.3290/j.ijcd.b6173229).
Keywords
RadiographyInterpretation (philosophy)OrthodonticsMedical physicsMedicineComputer scienceRadiology
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Publication Info
- Year
- 2025
- Type
- article
- Volume
- 28
- Issue
- 4
- Pages
- 309-321
- Citations
- 1
- Access
- Closed
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Cite This
İbrahim Şevki Bayrakdar,
Elif Bilgir,
Alican Kuran
et al.
(2025).
Artificial intelligence in panoramic radiography interpretation: a glimpse into the state-of-the-art radiologic examination method..
PubMed
, 28
(4)
, 309-321.
https://doi.org/10.3290/j.ijcd.b6173229
Identifiers
- DOI
- 10.3290/j.ijcd.b6173229