Teleorthodontics Versus Conventional Follow-up During Early Interceptive Orthodontic Treatment in Children

This trial will evaluate the clinical and logistical impact of integrating artificial intelligence (AI)-driven remote monitoring into pediatric interceptive orthodontics. While teleorthodontics has shown success in adult populations, this study will focus on children aged 7-11 years, where craniofacial growth is rapid and treatment depends heavily on parental involvement.

Trial Design:

This prospective, two-arm, parallel-group, randomized non-inferiority trial will be conducted at a university-based orthodontic clinic. The study will follow a hierarchical testing structure: first establishing the non-inferiority of treatment effectiveness (PAR Index change), followed by testing the superiority of remote monitoring in reducing unscheduled emergency visits.

Intervention Protocols:

Participants will be randomized in a 1:1 ratio to one of two monitoring modalities: Teleorthodontics Group (TG):Participants will receive a maxillary or mandibular Hyrax® expansion appliance. Parents will be trained to use the DentalMonitoring® smartphone application to capture five standardized intraoral photographs every week. The platform will use AI-driven image analysis to detect changes in tooth position, appliance status, and oral hygiene. A calibrated orthodontist will review all submissions within 48 hours and communicate with parents via in-app messaging. Scheduled in-office visits will occur at 8-week intervals. Conventional Group (CG):Participants will receive the same expansion therapy but will follow a traditional 4-week in-office visit schedule. No remote monitoring technology or smartphone-based photography will be utilized in this group.

Technical Monitoring and Safety In the teleorthodontics group, the AI system will flag clinical concerns such as loose bands or activation errors. The trial will investigate if these automated alerts allow for the remote resolution of minor issues, thereby preventing unnecessary travel for the families. Safety will be monitored by recording all adverse events, including mucosal irritation or appliance deformation, in both groups.

Statistical Methodology The trial is powered to detect non-inferiority based on a pre-specified margin of -3 points on the weighted PAR Index. Primary Analysis: An Intention-to-Treat (ITT) approach will be used, employing ANCOVA adjusted for baseline PAR scores and age strata. Emergency Visits: Superiority regarding unscheduled visits will be analyzed using negative binomial regression, accounting for treatment duration and travel distance. Sensitivity Analyses: To ensure robustness, researchers will perform per-protocol (PP) analyses and multiple imputation by chained equations (MICE) to handle any missing data. Subgroup Analysis: Exploratory analyses will examine if treatment effects differ based on the severity of the initial malocclusion or the geographic distance the family must travel to the clinic.