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Active Not RecruitingNCT06968325

AI-Designed Clear Aligners: A Randomized Clinical Trial

Clinical Performance of AI-based TruRoot Designed Clear Aligner (A Randomized Clinical Trial)

Status
Active Not Recruiting
Phase
N/A
Study type
Interventional
Enrollment
40 (actual)
Sponsor
University of Baghdad · Academic / Other
Sex
All
Age
18 Years – 30 Years
Healthy volunteers
Not accepted

Summary

The goal of this clinical trial is to evaluate the clinical performance and validity of applying AI-based TruRoot-designed clear aligners in adult orthodontic patients. The main questions it aims to answer are: Do TruRoot-designed aligners achieve more accurate root positioning compared to conventional aligners? Is there a significant difference in clinical parameters such as root resorption, pain levels, treatment duration, and occlusal outcomes between the two groups? Is the TruRoot AI-based design a valid and clinically applicable method for planning clear aligner treatment? Researchers will compare: An AI-based TruRoot group, where aligners are planned using CBCT and intraoral scan superimposition to estimate true root position A Conventional group, where aligners are designed using intraoral scans only, with expert evaluation to ensure roots remain within the alveolar bone Participants will: Receive clear aligner treatment based on either the TruRoot AI system or conventional planning by experts Undergo CBCT and intraoral scans at baseline and post-treatment Be assessed for root position accuracy, validity of AI-generated treatment plans, occlusal outcomes via the ABO Objective Grading System, root resorption, self-reported pain, and treatment duration Attend regular follow-ups throughout the treatment period

Detailed description

This randomized clinical trial investigates the clinical validity and performance of AI-based TruRoot-designed clear aligners compared to conventionally designed clear aligners in adult patients undergoing orthodontic treatment. The TruRoot system integrates CBCT and intraoral scan superimposition to estimate true root positioning, whereas the conventional group relies solely on intraoral scans with manual verification by expert orthodontists to ensure root positioning within the alveolar bone. The primary aim is to assess whether AI-driven root-based treatment planning offers superior clinical outcomes in terms of root accuracy, treatment efficiency, root resorption, pain perception, and occlusal quality. Post-treatment assessments will include CBCT imaging, root position analysis, and occlusal outcome evaluation using the American Board of Orthodontics (ABO) Objective Grading System. A comprehensive digital workflow will be applied throughout the study: CRANEX® software will be used for generating high-resolution CBCT slice data. BlueSky Plan or AI-based CephX® Web Viewer will be employed for segmentation and 3D modeling of dental and skeletal structures. Clear aligner designs will be generated through BlueSky Plan software or 3Shape Clear Aligner Studio, incorporating the AI-based TruRoot protocol in the experimental group. OnDemand 3D software will be used to evaluate root positioning within the alveolar bone post-treatment. Geomagic® Control X™ will be utilized to quantify tooth movement and assess root volume changes throughout the treatment course. This study will generate clinical data to validate the use of AI-powered root-based planning protocols in aligner therapy and compare them to conventional expert-driven methods

Conditions

Interventions

TypeNameDescription
DEVICEAI-based TruRoot group:Participants in this group will receive clear aligner treatment designed using an artificial intelligence (AI)-based system called TruRoot
DEVICEConventional clear aligner groupParticipants in this group will receive clear aligner treatment planned manually by expert orthodontists based only on intraoral scans.

Timeline

Start date
2025-02-25
Primary completion
2026-06-01
Completion
2026-12-01
First posted
2025-05-13
Last updated
2025-05-21

Locations

1 site across 1 country: Iraq

Source: ClinicalTrials.gov record NCT06968325. Inclusion in this directory is not an endorsement.