Artificial Intelligence in Smile Designing

Cairo University (CU)

Status: Completed

Conditions: Esthetics, Dental

Treatments: Device: EXOCAD; Device: Smilefy

Study type: Interventional

Funder types: Other

Identifiers

NCT06666907

AI

Details and patient eligibility

About

The study aims to assess the accuracy and patient satisfaction of smile designs based on artificial intelligence versus conventional DSD.

Full description

Advances in digital technology are transforming dental esthetic treatments, particularly through the use of Digital Smile Design (DSD) software. These programs enable dentists to create personalized, natural-looking smile designs, improving both treatment planning and patient satisfaction. Initially, tools like PowerPoint and Photoshop were used for smile design, but modern DSD programs allow dentists to work with high-resolution 3D models to design smiles that align with facial features.

Digital smile design (DSD) technology allows dentists to create and preview new smile designs before treatment, aiding in detailed planning and clear communication with patients. This process consists of three main steps: (1) capturing digital images or videos to assess the patient's current smile, (2) analyzing these images to identify aesthetic needs, and (3) using digital tools to simulate the planned changes. Although these digital tools have greatly improved patient experience, they can be challenging to adopt in routine practice due to the required time, skill, and cost. However, this procedure could be time consuming and subjective to the dentist's skills and expertise.

To address this, artificial intelligence (AI) has been integrated into smile design software, automating tasks like facial analysis, image alignment, and smile design simulation. Accessible through apps or cloud-based platforms, AI software supports a variety of tasks, including identifying anatomical landmarks, adjusting images, and conducting live treatment simulations. DSD's integration with artificial intelligence (AI) offers further advancements, promising rapid, automated esthetic evaluations and smile designs Although AI-powered smile design tools are becoming popular in dental practices, some concerns exist that these tools may be used more for marketing purposes than for identifying genuine patient needs.

Enrollment: 10 patients

Sex: All

Ages: 18 to 30 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients with esthetic problems that require digital smile design.
• Patient's age ranging from 19-30
• Good oral hygiene.
• Patients who have stable occlusion.

Exclusion criteria

• Poor oral hygiene.
• Patients with high caries or high plaque index.
• Patients with periodontal problems.
• Heavy bruxism habit or presence of any parafunctional habits.
• Pregnant or lactating women.
• Participating in another trial.

Trial design

Primary purpose: Diagnostic

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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10 participants in 2 patient groups

AI smile design

Experimental group

Description:

Artificial intelligence digital smile designing software

Treatment:

Device: Smilefy

Conventional smile design

Active Comparator group

Description:

Digital smile design software

Treatment:

Device: EXOCAD