Oral Radiol
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This report aims to summarize the fundamental concepts of Artificial Intelligence (AI), and to provide a non-exhaustive overview of AI applications in dental imaging, comprising diagnostics, forensics, image processing and image reconstruction. AI has arguably become the hottest topic in radiology in recent years owing to the increased computational power available to researchers, the continuing collection of digital data, as well as the development of highly efficient algorithms for machine learning and deep learning. It is now feasible to develop highly robust AI applications that make use of the vast amount of data available to us, and that keep learning and improving over time.
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The aim of this study was to examine the relationship between ramus height, gonial angle and impaction classifications of mandibular third molars. ⋯ Correlation between ramus height/gonial angle and impaction classification types of mandibular third-molar teeth was detected.