Multidisciplinary Presurgical Education: Clinical Impact on Children With Orofacial Clefts Undergoing Maxillary Distraction via Rigid External Distraction.

Objective: Treatment of severe maxillary hypoplasia is commonly addressed via distraction osteogenesis with a rigid external device (RED). While effective, this method can be socially stigmatizing in an already vulnerable patient population. To prepare children and their caregivers for life with a RED and decrease peri-operative anxiety, we instituted a multidisciplinary pre-surgical education session (MPES).

Application of machine learning for diagnostic prediction of root caries.

Objective: This study sought to utilise machine learning methods in artificial intelligence to select the most relevant variables in classifying the presence and absence of root caries and to evaluate the model performance.

Background: Dental caries is one of the most prevalent oral health problems. Artificial intelligence can be used to develop models for identification of root caries risk and to gain valuable insights, but it has not been applied in dentistry.

Oral health as a gateway to overall health and well-being: Surveillance of the geriatric population in the United States.

Aims: Little evidence exists to confirm that better oral health is associated with better overall health and well-being. The present study aimed to examine the impact of oral health on the overall health of the population greater than 65-year old in the entire United States.

Methods And Results: Data from National Health and Nutrition Examination Survey (NHANES) 2015-2016 were used.