Single Crown Design in the Anterior Region Using Artificial Intelligence
Dental prosthesis; Artificial Intelligence; CAD-CAM
Artificial intelligence (AI) is revolutionizing traditional workflows in dentistry by making processes more efficient, personalized, and precise. In prosthodontics, its application can significantly improve the efficiency, accuracy, and quality of procedures related to the design and fitting of dental prostheses. Given the limited number of studies focused on developing AI-based software for designing crowns in the anterior region, this study aims to develop a novel 3D AI algorithm, based on deep learning, for the design of single crowns in the anterior maxilla. A total of 100 scanned dental models will be collected from eligible participants to train the deep learning-based AI algorithm. Standard Tessellation Language (STL) files will be processed using a diffusion model framework with point cloud data to train the system. After the training phase, a new dataset comprising 100 digitized STL models with a missing tooth in the upper anterior region will be used to evaluate the algorithm. The AI will generate crown designs by learning morphological features from the training data, using point cloud processing followed by conversion into polygonal meshes. Ultimately, this AI-driven workflow is expected to produce biomimetic crowns with enhanced fit and adaptation across a variety of clinical scenarios.