Pauwels Ruben
Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Høegh-Guldbergs Gade 6B, 8000-C, Aarhus, Denmark.
Oral Radiol. 2021 Jan;37(1):153-160. doi: 10.1007/s11282-020-00468-5. Epub 2020 Aug 16.
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.
本报告旨在总结人工智能(AI)的基本概念,并对AI在牙科成像中的应用进行非详尽概述,包括诊断、法医鉴定、图像处理和图像重建。近年来,由于研究人员可获得的计算能力增强、数字数据的持续收集以及机器学习和深度学习高效算法的发展,AI可以说是放射学中最热门的话题。现在,开发高度强大的AI应用程序变得可行,这些应用程序利用我们可获得的大量数据,并随着时间的推移不断学习和改进。