Eliana Dantas Costa, José Andery Carneiro, Breno Augusto Guerra Zancan, Hugo Gaêta-Araujo, C. Oliveira-Santos, Alessandra Alaniz Macedo, Camila Tirapelli
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Abstract
This study aims to indicate the potential of artificial intelligence (AI) in epidemiological reports of decayed, missed and restored teeth. As a proof of concept our study model used panoramic x-ray images and an AI algorithm for tooth numbering, detection of the caries and restorations with accuracy over 80% for such diagnostic tasks. The output came as the number of decayed, missed and restored teeth according to patient´s age and the DMFT index (number of decayed, missing, and filled teeth) which varied from 3.6 (up to 20 years old) to 20.4 (+60 years old). Thus, it is suggested that AI is a promising method to automate health data collection through the analysis of x-rays.
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