The association between temporomandibular disorders signs and symptoms, bruxism, and health variables: A cross-sectional study.

Objective: The study aimed to determine the associations between several important and potentially modifiable health variables and TMD signs and symptoms.

Methods: A total of 209 adult dental patients from two clinics completed surveys on demographics, self-reported awake and sleep bruxism, TMD signs and symptoms, stress, depression, chronic pain, and sleep quality. Correlations and regression analyses were used to identify associations between these health variables and TMD symptoms.

The accuracy of artificial intelligence-based virtual assistants in responding to routinely asked questions about orthodontics.

Objectives: To evaluate the utility and efficiency of four voice-activated, artificial intelligence-based virtual assistants (Alexa, Google Assistant, Siri, and Cortana) in addressing commonly asked patient questions in orthodontic offices.

Materials And Methods: Two orthodontists, an orthodontic resident, an oral and maxillofacial radiologist, and a dental student used a standardized list of 12 questions to query and evaluate the four most common commercial virtual assistant devices. A modified Likert scale was used to evaluate their performance.