Abstract: Periodontal disease, a common chronic inflammatory condition of the oral cavity, not only causes localized damage such as tooth mobility, tooth loss, impairing chewing function and facial aesthetics, but is also associated with a variety of systemic diseases. Its onset and progression are influenced by a complex interplay of both local and systemic factors, making its risk assessment and prognosis particularly challenging. Artificial intelligence (AI), with its powerful data processing capabilities, can uncover complex patterns from multidimensional data, offering new approaches for early detection, risk prediction, and personalized treatment of periodontal disease. This paper provides a comprehensive review of the current applications of AI models in the diagnosis and prognosis of periodontitis, as well as in public education and academic training. It also offers an in-depth analysis of the strengths and limitations of different AI models, aiming to support model optimization and promote more effective integration of AI into periodontal clinical practice and education.

Key words: periodontal disease, artificial intelligence, machine learning, deep learning, personalized treatment