In the global epidemic era, oral problems significantly impact a major population of children.
The key to a child's optimal health is early diagnosis, prevention, and treatment of these …

Purpose: To systematically evaluate artificial intelligence applications for diagnostic and
treatment planning possibilities in pediatric dentistry. Methods: PubMed®, EMBASE® …

When dentists see pediatric patients with more complex tooth development than adults
during tooth replacement, they need to manually determine the patient's disease with the …

Artificial intelligence (AI) is transforming pediatric dentistry by enhancing diagnostic
accuracy, streamlining treatment planning, and improving behavior management. This …

Background: Artificial intelligence (AI) has emerged as a revolutionary technology with
several applications across different dental fields, including pedodontics. This systematic …

Objective To clarify the effects on the development, position and morphology of the
permanent successors of primary molars affected by apical periodontitis (AP). Method A total …

Objectives: To construct a diagnostic model for mixed dentition using a multistage deep-
learning network to predict potential ectopic eruption in permanent teeth by integrating …

Abstract Objectives Artificial Intelligence has applications such as Large Language Models
(LLMs), which simulate human-like conversations. The potential of LLMs in healthcare is not …

Objectives In the interpretation of panoramic radiographs (PRs), the identification and
numbering of teeth is an important part of the correct diagnosis. This study evaluates the …

Background There is information missing in the literature about the comparison of dentists
vs. artificial intelligence (AI) based on diagnostic capability. The aim of this study is to …