AI-Designed Clear Aligners: A Randomized Clinical Trial

University of Baghdad

Status: Active, not recruiting

Conditions: Root Resorption; Pain Perception; Treatment Duration

Treatments: Device: AI-based TruRoot group:; Device: Conventional clear aligner group

Study type: Interventional

Funder types: Other

Identifiers

NCT06968325

1013425

Details and patient eligibility

About

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

Full 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

Enrollment: 40 patients

Sex: All

Ages: 18 to 30 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. All participants should have good general health with healthy periodontium.
2. Adult patient with an age range 18-30 with fully erupted all permanent dentitions excluding third molars.
3. Skeletal and dental Cl I malocclusion with moderate crowding (little irregularity index 4-6 mm).
4. The treatment plan should be non-extraction treatment.
5. No history of trauma or root resorption

Exclusion criteria

1. Patients with diseases or syndromes affecting maxillofacial regions,
2. Subject with poor oral hygiene.
3. Defective and missing teeth.
4. Presence of any deep bite or open bite problems,
5. History of trauma, root resorptions and dilacerated roots.
6. Medical conditions affecting tooth movement or bone metabolism.
7. previous extraction or history of previous orthodontic treatment.

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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40 participants in 2 patient groups

AI-based TruRoot group

Experimental group

Description:

This intervention is distinguished by its use of an AI-based treatment planning protocol that incorporates both CBCT and intraoral scan data for accurate root position estimation.

Treatment:

Device: AI-based TruRoot group:

Conventional clear aligner group

Experimental group

Description:

This intervention differs from the AI-based approach by using only intraoral scans for treatment planning, without incorporating CBCT data. Clear aligners are designed manually by experienced orthodontists based on clinical judgment and standard digital models.

Treatment:

Device: Conventional clear aligner group