Application of artificial intelligence in cone-beam computed tomography for airway analysis: a narrative review

Chi Adam, Khairul Bariah and Ismail, Izzati Nabilah Ismail and Subramaniam, Pram Kumar and Ghazali, Ahmad Badruddin (2024) Application of artificial intelligence in cone-beam computed tomography for airway analysis: a narrative review. Diagnostics, 14 (17). ISSN 2075-4418

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Abstract

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 CBCT for airway analysis has shown improvements in the accuracy and efficiency of diagnos- ing and managing airway-related conditions. This review aims to explore the current applications of AI in CBCT for airway analysis, highlighting its components and processes, applications, benefits, challenges, and potential future directions. A comprehensive literature review was conducted, fo- cusing on studies published in the last decade that discuss AI applications in CBCT airway analysis. Many studies reported the significant improvement in segmentation and measurement of airway volumes from CBCT using AI, thereby facilitating accurate diagnosis of airway-related conditions. In addition, these AI models demonstrated high accuracy and consistency in their application for airway analysis through automated segmentation tasks, volume measurement, and 3D reconstruction, which enhanced the diagnostic accuracy and allowed predictive treatment outcomes. Despite these advancements, challenges remain in the integration of AI into clinical workflows. Furthermore, variability in AI performance across different populations and imaging settings necessitates further validation studies. Continued research and development are essential to overcome current challenges and fully realize the potential of AI in airway analysis.

Item Type:	Article (Review)
Uncontrolled Keywords:	cone-beam computed tomography; CBCT; artificial intelligence; AI; airway analysis
Subjects:	R Medicine > RK Dentistry > RK529 Oral Surgery-General Works
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Dentistry > Department of Oral Maxillofacial Surgery and Oral Diagnosis Kulliyyah of Dentistry
Depositing User:	dr khairul bariah
Date Deposited:	13 Jan 2025 11:22
Last Modified:	13 Jan 2025 11:22
URI:	http://irep.iium.edu.my/id/eprint/117959

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