 Artificial intelligence, AI, has become increasingly important in the medical industry, with applications ranging from diagnostics to treatment planning. AI algorithms such as deep learning and convolutional neural networks have been used in dentistry for improved accuracy and efficiency in diagnosis and treatment. These algorithms can reduce the subjectivity in human error associated with radiography interpretation, leading to better patient outcomes. Despite the potential benefits of AI, there remain challenges in understanding and implementing these algorithms. This paper provides an overview of the current state of AI in dentistry, focusing on deep learning and convolutional neural networks.