Oral and maxillofacial radiology (OMR) is a rapidly evolving dental specialty. Similar to developments in medicine, radiology continues to advance at an accelerated pace. OMR is increasingly recognized as a driving force in digital and precision dentistry. In recent years, artificial intelligence (AI) and deep learning frameworks have been rapidly adopted in both OMR and the broader field of dentistry. Concurrently, new imaging modalities are emerging across both two-dimensional and three-dimensional technologies, encompassing applications for hard and soft tissues.

The first half of this presentation will explore major emerging imaging technologies, including dental-dedicated MRI (ddMRI), photon-counting computed tomography (PCCT), ultra-low-dose (ULD) CBCT, hybrid CBCT–MRI models, and dynamic low-dose 2D sensors. The advantages and limitations of these modalities and protocols will be critically discussed.

The second half of the presentation will highlight the current status of AI and deep learning in oral and maxillofacial radiology and across dentistry. It will also address existing limitations, incorporate our research experience, and outline future directions for AI applications in OMR and the broader dental field