Development of Artificial Intelligence Models for Tooth Numbering and Detection: A Systematic Review.

ABSTRACT: Dental radiography is widely used in dental practices and offers a valuable resource for the development of AI technology. Consequently, many researchers have been drawn to explore its application in different areas. The current systematic review was undertaken to critically appraise developments and performance of artificial intelligence (AI) models designed for tooth numbering and detection using dento-maxillofacial radiographic images. In order to maintain the integrity of their methodology, the authors of this systematic review followed the diagnostic test accuracy criteria outlined in PRISMA-DTA. Electronic search was done by navigating through various databases such as PubMed, Scopus, Embase, Cochrane, Web of Science, Google Scholar, and the Saudi Digital Library for the articles pub

SUBMITTER: Maganur PC 

PROVIDER: S-EPMC11563160 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature