Use and Future of Artificial Intelligence in Dentistry
The applications, advantages, and challenges of artificial intelligence and machine learning technologies across dental specialties were examined.
The digitization process experienced in dentistry over the past three decades has accelerated the integration of artificial intelligence technologies into diagnostic and treatment processes.
Digital Transformation in Dentistry
The diagnostic process in dentistry has undergone a structural shift from visual-tactile methods to fully digitized systems. Intraoral scanning, digital panoramic imaging, and CAD/CAM systems form the basis of this transformation.
Basic Concepts of Artificial Intelligence
Artificial intelligence aims to create computational structures for tasks that require human intelligence. While machine learning identifies hidden patterns, deep learning utilizes multi-layered processing networks.
Radiology and Diagnostic Applications
Deep learning models demonstrate high sensitivity and specificity in diagnosing interproximal caries, marginal gaps, and recurrent caries.
Restorative Dentistry and Orthodontics
Artificial intelligence algorithms in CAD/CAM systems recognize finish lines and generate personalized crown geometries. Computer vision models perform cephalometric analysis.
Endodontics, Periodontology, and Surgery
High-resolution deep learning models improve root canal segmentation while evaluating alveolar bone levels and guiding surgical planning.