Development of a Artificial Intelligence Dental Anxiety Scale (AI -CDAS) For Children: Validation And Reliability.

Abstract

Assessing children's pain using patient-based pain scales can be challenging. Hence, there is a need of new version Artificial Intelligence Child Dental Anxiety Scale (AI-CDAS) to scale and test its psychometric properties (validity and reliability). This study was conducted to evaluate the validity and reliability of Artificial Intelligence version of the Child Dental Anxiety Scale (AI-CDAS) for anxiety detection scale in children using face as a response set from October 2022 to December 2023. Aim of this study was to examine the reliability and validity of Artificial Intelligence based Child Dental Anxiety Scale (AI-CDAS) using a wide range of age samples in dental clinics. A total of 100 outpatients (Age 03-09 years) from Bharati Vidyapeeth Deemed to be University Dental College and Hospital, Pune, India participated in this study. Dental anxiety was assessed using the Artificial Intelligence Child Dental Anxiety Scale (AI-CDAS) and comparing with a valid and reliable scale of Colored Version of Modified Facial Affective Scale. Reliability and validity was good and significant correlations were found between the AI-CDAS and the Colored Version of Modified Facial Affective Scale. This study suggests that the Artificial Intelligence based Child Dental Anxiety Scale (AI-CDAS) is a valid and reliable measure for assessing children's dental anxiety and may help encourage dentists to formally assess dental anxiety scale in day to day practice. Self-report measures are commonly employed in dental anxiety assessments. One advantage of self report measures is the ease of administration, taking relatively short period of time to complete. They can also assess the reaction to different aspects of the dental experience.