Effect of AI-Supported Child-Friendly Communication on Dental Anxiety in Pediatric Patients

Successful pediatric dental treatment depends on effective therapeutic communication and tailored behavior management strategies based on the child's needs and the clinician's experience. Local anesthesia often induces dental anxiety, elevated physiological stress, and increased pain perception, which can impair treatment outcomes and contribute to dental phobia. Although traditional techniques like Tell-Show-Do and positive reinforcement are commonly used, their effectiveness may be limited in some children.

The integration of artificial intelligence (AI) and digital technologies has enabled personalized communication strategies adapted to children's cognitive and psychosocial development. AI tools such as ChatGPT act as distraction methods to reduce anxiety and stress during dental procedures. Furthermore, AI-enhanced audiovisual devices like virtual reality (VR) headsets have been shown to decrease dental anxiety, physiological stress responses, and pain perception in pediatric patients.

This study will be conducted with healthy children aged 7 to 12 who require inferior alveolar nerve block (IANB) anesthesia and have Frankl Behavior Rating Scale scores of 2 (negative) or 3 (positive). Demographic and dental data such as age, gender, and treated tooth numbers will be recorded prior to the procedure.

Participants will be randomly assigned into two groups: Group 1 (Control) and Group 2 (ChatGPT).

Control Group (Group 1):

Before local anesthesia, traditional behavior management techniques selected by the pediatric dentist based on clinical observation and experience will be applied. These include modified Tell-Show-Do (limiting exposure to potentially anxiety-provoking stimuli like dental syringes), voice control, and positive reinforcement. Explanations regarding the anesthesia procedure will be delivered verbally, tailored to the child's cognitive level and understanding capacity.

For example (From the investigators to participants):

"Hello, welcome! I see you are a bit worried, but that's very normal. People sometimes get scared of things they don't know, right? Now, please lie back comfortably, and I will tell you what are we (investigators) going to do. First, I will spray a magic sleepy water (or cold spray/warm water) on your (participants')tooth. This will make your tooth numb, so you won't feel anything. You might feel a tiny little mosquito touch, but it will pass quickly. Then your tooth will be asleep, and we (investigators) will do our work comfortably. While I'm making your tooth sleep, just lean back and think of happy memories." Following this, traditional behavior management techniques such as positive reinforcement and voice control will accompany the topical anesthesia application and then the local anesthesia procedure. The total procedure duration will not exceed 5 minutes.

Experimental Group (Group 2):

Given that cognitive abilities, language comprehension, and psychosocial needs vary by developmental stage, AI-supported communication content will be structured accordingly. Using ChatGPT, age- and gender-specific voice recordings explaining the local anesthesia procedure will be created considering developmental characteristics of children aged 7-12. Additionally, a one-minute child-friendly, anxiety-reducing story without anxiety-provoking words will be generated to be played during the anesthesia application to enhance patient cooperation and reduce anxiety.

Commands given to the AI were:

"I am about to apply local anesthesia to a [age]-year-old [girl/boy] patient with high anxiety levels. Please explain the procedure steps in a child-friendly, simple, and reassuring manner avoiding words like 'pain' and 'needle', considering developmental characteristics, age-appropriate interests, and gender-specific tendencies."

"During the anesthesia application, please tell a one-minute calming and distracting story suitable for a [age]-year-old [girl/boy], without anxiety-provoking expressions, tailored to their developmental stage and interests." Before anesthesia, children in this group will listen to the AI-generated voice explanation, and during anesthesia, the AI-generated story will be played.

Assessment criteria:

Physiological responses including heart rate and oxygen saturation will be objectively measured using a pulse oximeter (LifeNet Fingertip Pulse Oximeter; Model: KE-6004) attached to the finger before, during, and after anesthesia, recording the highest values for each phase. Subjective anxiety will be evaluated with the Venham Picture Test (VPT) and Facial Image Scale (FIS) before and after anesthesia. Pain perception will be assessed using the Wong-Baker FACES Pain Rating Scale at the end of anesthesia. Dental anxiety will be evaluated before and after anesthesia using the Modified Child Dental Anxiety Scale - Faces Version (MCDAS-f). Children's behavior during anesthesia will be recorded using the Modified Houpt Behavior Scale based on the clinician's observations. Cooperation levels will be assessed with the Frankl Behavior Rating Scale before and after anesthesia. Finally, to evaluate perceptions and attitudes toward AI-assisted communication, a 4-item child questionnaire and a 2-item parent questionnaire using 5-point Likert scales will be administered after treatment.

This study aims to compare the effectiveness of traditional behavior management techniques versus AI-assisted child-friendly communication in managing dental anxiety, physiological stress, and pain perception during local anesthesia in children, potentially contributing to innovative, evidence-based approaches in pediatric dental care.