Uso de modelos de inteligência artificial na detecção de cárie

Abstract

Artificial Intelligence (AI), as defined by Richard Bellman as the automation of activities associated with human thinking skills, has played a crucial role in Dentistry, utilizing Machine Learning (ML) and Deep Learning (DL) models. Specifically, Deep Learning's Convolutional Neural Networks (CNN) have proven effective in evaluating radiographic images. Accordingly, a literature review was conducted to analyze the application of AI in Dentistry, with a focus on accuracy and efficiency in the diagnosis of carious lesions. Dental caries, one of the most prevalent chronic diseases, requires early detection to ensure that restorative treatment is either non-invasive or minimally invasive, underscoring the importance of AI as a second opinion for dentists. While DL models demonstrate high accuracy, it is essential to consider them as assistive tools, enhancing diagnostic accuracy and contributing to more effective treatment.