Volume 20 No 12 (2022)
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Sheetal Mujoo ,Ahmed Shaher Alqahtani ,Alok Dubey ,Bassam Ali Hamdi ,Balqees Ahmed Alhazmi ,Athar Ali Sulaily
Artificial intelligence systems actively applied in a broad range of industries in recent years are able to mimic humans' cognitive functions to perform problem-solving and learning tasks. Artificial intelligence applications are particularly promising in oral and maxillofacial radiology. Dentists could use them as an adjunct to other imaging modalities in making proper diagnoses and treatment plans. This system has reduced radiologists' workload by rapidly recording and presenting data, thereby observing the treatment response with a lowered risk of cognitive bias. In the field of oral and maxillofacial radiology, Artificial intelligence systems can perform image classification, detection, segmentation, registration, generation, and refinement. This article discusses the clinical applications and scope of intelligent systems such as machine learning, artificial intelligence, and deep learning programs in oral and maxillofacial radiology.
Artificial intelligence, Oral and maxillofacial radiology, Machine learning, Deep learning, Convolutional Neural Network
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