Artificial intelligence-finding new frontiers in oral and maxillofacial radiology Jayalekshmy Rema1*, Unnithan Jayesh J.2, Kumar Anjana Mohan3, Majid Shanila Abdul3 1Professor and Head, Asst Professor, Department of Oral Medicine and Radiology, Al Azhar Dental College & Hospital, Thodupuzha, Kerala685605 2Asso Professor, Asst Professor, Department of Oral Medicine and Radiology, Al Azhar Dental College & Hospital, Thodupuzha, Kerala685605 3 Asst Professor, Department of Oral Medicine and Radiology, Al Azhar Dental College & Hospital, Thodupuzha, Kerala685605 *Corresponding Author E-mail: sanjay.rema@gmail.com
Online published on 9 April, 2021. Abstract 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. Top Keywords Artificial Intelligence, Machine Learning, Deep Learning, OralRadiologist. Top |