Statement Of Problem: Despite the increasing number of publications on applying artificial intelligence (AI) in the dental field, clarity regarding the performance of different approaches for nasoalveolar molding (NAM) planning and designing is lacking. Additionally, the overall robustness of the evidence in this field remains uncertain.
Purpose: The purpose of this systematic review was to evaluate the role of AI in automating the prediction of anatomic landmarks and the design of NAM appliances.
Objective: The aim of this study is to evaluate the quality and readability of the Arabic web-based information about cleft lip and/or palate (CL/P).: Searching in three engines and checking eligibility for the first 300 websites. The quality of the included websites (72) was assessed using the DISCERN questionnaire, JAMA benchmarks, and HON code.
View Article and Find Full Text PDFBackground The prevalence of impacted third molars is high in the global general population. The etiology of impacted third molars is not fully understood, but it is thought to result from combined genetic and environmental factors. Some studies have suggested a link between the blood group and the risk of impacted third molars.
View Article and Find Full Text PDFObjective: This study aims to evaluate the parents' attitude and their perception regarding the management of orofacial cleft (OFC) children with presurgical nasoalveolar molding (PNAM), DynaCleft and/or feeding obturators.
Material And Methods: A cross-sectional, descriptive and observational retrospective survey-based study was conducted among parents of OFC children treated with PNAM, DynaCleft and/or feeding obturators who attended a primary dental health care center in Al-Madinah, Saudi Arabia, from 2019 to 2023. A validated questionnaire was used after translating it from English to Arabic.