Intelligence encompasses cognitive abilities such as establishing relationships, problem-solving, and adapting to the environment. Artificial intelligence (AI) refers to systems designed to emulate these abilities in machines. AI has evolved through subfields including machine learning, artificial neural networks, and deep learning. Machine learning enables systems to learn from data and make decisions, while artificial neural networks operate using layered structures that mimic human brain neurons. Deep learning, characterized by its deep and multilayered architecture, excels in modeling complex data such as images, audio, and text.

In dentistry, AI has facilitated significant advancements in areas such as patient record management, diagnostic support systems, and image analysis. Automated detection and classification of teeth in panoramic, periapical, and cone-beam computed tomography (CBCT) images provide high accuracy in treatment planning. Furthermore, AI-supported systems are successfully employed in determining dental age, detecting caries and pathologies, cephalometric analysis, and early diagnosis of oral diseases. These developments enhance clinical efficiency and reduce errors, thereby improving the quality of patient care.