Publications by authors named "Fernanda Pretto Zatt"

Background: This study aims to scrutinize the characteristics of the 100 most cited articles concerning the immediate placement of dental implants.

Material And Methods: Employing a specific search strategy comprising keywords and Boolean operators, we conducted a comprehensive search in the Web of Science database in January 2024. The identified articles were then arranged in descending order based on their citation counts.

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Article Synopsis
  • The increasing number of patients with temporomandibular disorders (TMD) and the diagnostic challenges faced by general dentists highlight the need for artificial intelligence in improving TMD diagnosis.
  • This study assessed a machine-learning model that classifies TMDs using patient data aligned with the International Classification of Orofacial Pain.
  • Results showed the model could accurately classify joint pain at 84% and myofascial pain at 78%, indicating that decision tree-based machine learning can significantly aid in diagnosing TMD.
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Background: The aim of this study was to understand the trends regarding the use of artificial intelligence in dentistry through a bibliometric review.

Types Of Studies Reviewed: The authors performed a literature search on Web of Science. They collected the following data: articles-number and density of citations, year, key words, language, document type, study design, and theme (main objective, diagnostic method, and specialties); journals-impact factor; authors-country, continent, and institution.

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Aim: To assess the prevalence and associated factors with use of dental implants among older adults.

Methods: This cross-sectional study was performed with home dwelling older adults from the cities Cruz Alta and Veranópolis, Brazil. The main outcome was obtained by a clinical oral examination, considering those with at least one dental implant.

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