Application of artificial intelligence in cone-beam computed tomography for airway analysis: a narrative review
Cone-beam computed tomography (CBCT) has emerged as a promising tool for the analysis of the upper airway, leveraging on its ability to provide three-dimensional information, minimal radiation exposure, affordability, and widespread accessibility. The integration of artificial intelligence (AI) in C...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en en en |
| Published: |
MDPI
2024
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/117959/7/117959_Application%20of%20artificial%20intelligence%20in%20cone-beam%20computed%20tomography.pdf http://irep.iium.edu.my/117959/8/117959_Application%20of%20artificial%20intelligence%20in%20cone-beam%20computed%20tomography_Scopus.pdf http://irep.iium.edu.my/117959/9/117959_Application%20of%20artificial%20intelligence%20in%20cone-beam%20computed%20tomography_WoS.pdf http://irep.iium.edu.my/117959/ https://www.mdpi.com/2075-4418/14/17/1917 |
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