Case Study Details

This project focuses on leveraging Generative Adversarial Networks (GANs) for orthodontic treatment planning. By training on datasets of before-and-after orthodontic images, the AI model learns to generate realistic visualizations of corrected dental structures. This allows for the prediction of potential treatment outcomes based on a patient's initial dental state. The system analyzes functional characteristics of different tooth types (molars, premolars, canines, incisors) and can be enhanced with exemplar data to guide the reconstruction model. This technology offers a non-invasive and efficient approach to help orthodontists and patients visualize and plan treatments, potentially improving patient understanding and satisfaction. Video demonstrations of the tooth reconstruction and alignment process are available to showcase the model's capabilities.