Journal of Pharmacy and Bioallied Sciences (Dec 2024)

Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach

  • Mohammad Haider

DOI
https://doi.org/10.4103/jpbs.jpbs_1097_24
Journal volume & issue
Vol. 16, no. Suppl 4
pp. S3089 – S3091

Abstract

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This systematic review aims to assess the diagnostic accuracy of artificial intelligence (AI) models specifically developed for detecting and classifying dental caries. A comprehensive electronic literature search was performed on the PubMed, Web of Science, SCOPUS, and Embase databases. The search yielded a total of 397 results. We examined 10 articles that satisfied the selection criteria. In summary, AI-based models show high diagnostic accuracy in recognizing dental caries by analyzing dental radiography pictures.

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