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Article

Artificial Intelligence-Assisted Analysis of Prevalence Patterns and Phenotypic Distribution of Dental Pulp Stones Using Cone-Beam Computed Tomography Imaging.

Nigerian journal of clinical practice - 1 Mar 2026

Mahabob N, Madiraju G S, Bello S M, Abraham S

Abstract excerpt

BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into dental radiology to enhance diagnostic accuracy and support epidemiological research. AI-driven techniques, such as K-Means clustering and principal component analysis (PCA) offer novel approaches for analyzing cone-beam computed tomography (CBCT) data. AIMS: This study applied AI-based clustering techniques to data derived from CBCT...

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PMID: 41912461
DOI: 10.4103/njcp.njcp_823_25

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