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Clinically applicable artificial intelligence system for dental diagnosis with CBCT
In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinical setting. The system consists of 5 modules: ROI-l...
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| Publicado en: | Sci Rep |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8298426/ https://ncbi.nlm.nih.gov/pubmed/34294759 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-94093-9 |
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