Artificial intelligence-finding new frontiers in oral and maxillofacial radiology

Artificial intelligence (AI), particularly deep learning algorithms, is gaining extensive attention for its exceptional performance in image-recognition tasks. Artificial intelligence (AI) is rapidly moving from an experimental phase to an implementation phase in many fields, including medical and dental imaging. Major performance breakthroughs in its development have been possible due to the proportionate amalgamation of augmented computing capacity, better availability of vast datasets and advanced learning algorithms. They can automatically formulate a quantitative assessment of complex medical image characteristics and achieve an increased accuracy for diagnosis, with higher efficiency. AI is extensively used and gaining worldwide popularity in the medical imaging of the liver, ultrasonography, and nuclear medicine. AI can reduce physicians’ workload by assisting to make more accurate and reproducible imaging diagnosis. AI is slowly but steadily permeating in the field of Oral & Maxillofacial Radiology too. This article reviews a general understanding of AI methods, particularly those pertaining to image-based tasks in Oral & Maxillofacial Radiology. We explore how these methods could impact multiple facets of imaging and the impact of AI on oral radiologists.