U.S., Sept. 2 -- ClinicalTrials.gov registry received information related to the study (NCT07797777) titled 'AI-Assisted Evaluation of Dental Anxiety in Children: A Machine Learning Approach' on Aug. 27.
Brief Summary: This observational study evaluated whether children's dental anxiety could be identified from their speech using artificial intelligence and machine learning methods. Children aged 8-12 years attending a pediatric dentistry clinic answered a set of short, standardized questions before receiving dental treatment. Their speech was recorded, and their dental anxiety was assessed during the same session using three established measures: the Children's Fear Survey Schedule-Dental Subscale, the Modified Child Dental Anxiety Scale,...