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Odovtos - International Journal of Dental Sciences

2024, Number 2

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Odovtos-Int J Dent Sc 2024; 26 (2)

Potential of Artificial Intelligence to Generate Health Research Reports of Decayed, Missed and Restored Teeth

Dantas CE, Andery CJ, Guerra ZBA, Gaêta-Araujo H, Oliveira-Santos C, Alaniz MA, Tirapelli C

Language: English
References: 15
Page: 14-19
PDF size: 378.18 Kb.


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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