Clinical dentistry relies heavily on dental imaging. X-ray, particularly panoramic imaging, is the most frequent imaging modality, though not the only one. Radiologic images are easily acquired. They enable dental practitioners to uncover numerous disorders that would otherwise go undetected because many oral diseases have no clinical indications or symptoms. Medical imaging technology has advanced significantly in recent years. One of the most current research areas is the development of automatic analysis methods for radiography images based on anatomical landmark recognition or picture segmentation. This technology discovery is particularly intriguing in dentistry since it has the potential to help professionals ease and speed up treatment planning. Since dental images are digitally recorded data that can be easily translated into computer language, they were the first link between Artificial Intelligence (AI) and dentistry. Deep Learning is the primary strategy to developing automatic analysis systems among the different AI approaches because to its nature of providing digitally coded pictures that can be more readily translated into computer language. As a result, radiology is seen as presenting a clearer way for AI into healthcare. In addition to being able to avoid reviewing and reporting on a huge number of dental images, dentists hope that using AI diagnostic models would enable them to work more efficiently and provide more accurate results when it comes to the final diagnosis of various diseases.  The aim of this section is to review the current and potential uses of AI applications in  oral radiology and to examine the innovations and possible contributions to the field.