A brief introduction to concepts and applications of artificial intelligence in dental imaging
- PMID: 32803680
- DOI: 10.1007/s11282-020-00468-5
A brief introduction to concepts and applications of artificial intelligence in dental imaging
Abstract
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.
Keywords: Artificial intelligence; Deep learning; Dentistry; Machine learning; Radiology.
References
-
- Recht M, Bryan RN. Artificial Intelligence: threat or boon to radiologists? J Am Coll Radiol. 2017;14:1476–80. https://doi.org/10.1016/j.jacr.2017.07.007 . - DOI - PubMed
-
- Kohli M, Prevedello LM, Filice RW, Geis JR. Implementing machine learning in radiology practice and research. AJR Am J Roentgenol. 2017;208:754–60. https://doi.org/10.2214/AJR.16.17224 . - DOI - PubMed
-
- Clarke AM, Friedrich J, Tartaglia EM, Marchesotti S, Senn W, Herzog MH. Human and machine learning in non-Markovian decision making. PLoS One. 2015;10:e0123105. https://doi.org/10.1371/journal.pone.0123105 . - DOI - PubMed - PMC
-
- Plis SM, Hjelm DR, Salakhutdinov R, Allen EA, Bockholt HJ, Long JD, et al. Deep learning for neuroimaging: a validation study. Front Neurosci. 2014;8:229. https://doi.org/10.3389/fnins.2014.00229 . - DOI - PubMed - PMC
-
- Houssami N, Lee CI, Buist DSM, Tao D. Artificial intelligence for breast cancer screening: opportunity or hype? Breast. 2017;36:31–3. https://doi.org/10.1016/j.breast.2017.09.003 . - DOI - PubMed