Accuracy of Artificial Intelligence in Predicting Facial Changes Post-Orthognathic Surgery: A Comprehensive Scoping Review.

Background: Accurate prediction of facial soft tissue changes post-orthognathic surgery is crucial for treatment planning and patient communication. Current models pose limitations due to the complexity of facial biomechanics and individual variances. Artificial intelligence (AI) has emerged as an important tool in many disciplines, including the dental field.

Socio-economic and gender dynamics influence on the parental decision-making process for children's orthodontic care - A study in Madinah, Saudi Arabia.

Objectives: To investigate the socio-economic and personal factors that impact parental decisions regarding orthodontic treatment for their children in Madinah, Saudi Arabia.

Materials And Methods: A digital self-administered questionnaire was employed to collect data from 414 parents, focusing on their motivations and barriers that influence their decision-making process regarding orthodontic treatment.

Results: Income level was the most significant factor in orthodontic decisions.

Frequency and pattern of impacted Canines in Al-Madinah, Saudi Arabia: A cross-sectional radiographic study.

Objectives: Impacted canine (IC) is a dental anomaly that varies in its frequency according to the population of interest. The aim of this study is to investigate the frequency and distribution pattern of maxillary ICs (MxIC) and mandibular ICs (MnIC) in the population of Al-Madinah, Saudi Arabia.

Materials And Methods: A cross-sectional retrospective study of all patients attended Taibah University Dental Hospital, Madinah, Saudi Arabia.