The Effect of Artificial Intelligence on the Development of Projective Methods Used in the Determination of Dental Anxiety in Children
The Effect of Artificial Intelligence on the Development of Projective Methods Used in the Determination of Dental Anxiety in Children
The goal of this observational study was to evaluate an artificial intelligence-assisted projective method for assessing dental anxiety in young children and to understand how the first child-dentist interaction affected dental anxiety. The main questions it aimed to answer were:
Did the artificial intelligence-assisted projective method provide a valid and reliable assessment of dental anxiety in children aged 3 to 6 years? Did dental anxiety change after the child's first interaction with the dentist during the first dental visit? Children aged 3 to 6 years who attended their first dental visit as part of routine dental care took part. During the same visit, dental anxiety was assessed before and after the initial child-dentist interaction using picture-based dental anxiety scales and the newly developed projective method. All assessments were completed on the same day.
This study evaluated the validity and reliability of an artificial intelligence-assisted projective assessment tool using the Facial Image Scale, the Venham Picture Test, and the Raghavendra, Madhuri, and Sujata Pictorial Scale as comparator measures. Dental anxiety was assessed with the AI-assisted tool and all comparator scales immediately before and immediately after the child's first interaction with the dentist during the same visit. Reliability was evaluated using the intraclass correlation coefficient (ICC), agreement was assessed using Bland-Altman analysis, and criterion validity was assessed using Spearman rank correlation. Pre-interaction and post-interaction dental anxiety scores were compared using the Wilcoxon signed-rank test separately for each measurement tool.
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