Diagnostic accuracy of artificial intelligence in detecting periapical lesions: A comparative study with cone-beam computed tomography and conventional periapical radiography
- DOI
- 10.4317/jced.64327
- Published
- 2026
- Container
- Journal of Clinical and Experimental Dentistry
- Publisher
- Medicina Oral, S.L.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.4317/jced.64327,
title = {Diagnostic accuracy of artificial intelligence in detecting periapical lesions: A comparative study with cone-beam computed tomography and conventional periapical radiography},
author = {MM. Albochi and WH. Kamel and NE. Sabet and MW. ElBoraey},
year = {2026},
journal = {Journal of Clinical and Experimental Dentistry},
doi = {10.4317/jced.64327},
url = {https://doi.org/10.4317/jced.64327}
}RIS
TY - JOUR TI - Diagnostic accuracy of artificial intelligence in detecting periapical lesions: A comparative study with cone-beam computed tomography and conventional periapical radiography AU - MM. Albochi AU - WH. Kamel AU - NE. Sabet AU - MW. ElBoraey PY - 2026 JO - Journal of Clinical and Experimental Dentistry DO - 10.4317/jced.64327 UR - https://doi.org/10.4317/jced.64327 ER -
APA
Albochi, M., Kamel, W., Sabet, N., & ElBoraey, M. (2026). Diagnostic accuracy of artificial intelligence in detecting periapical lesions: A comparative study with cone-beam computed tomography and conventional periapical radiography. Journal of Clinical and Experimental Dentistry. https://doi.org/10.4317/jced.64327
Source records
- crossref · retrieved 2026-11-09T18:00:49.239Z