Artificial Intelligence in Smile Designing

Overview

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

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.

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Eligibility

Locations (1)

Outcomes