A brief introduction to concepts and applications of artificial intelligence in dental imaging

Ruben Pauwels

doi:10.1007/s11282-020-00468-5

A brief introduction to concepts and applications of artificial intelligence in dental imaging

^*Corresponding author for this work

Aarhus Institute of Advanced Studies

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

27 Citations (Scopus)

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.

Original language	English
Journal	Oral Radiology
Volume	37
Issue	1
Pages (from-to)	153-160
Number of pages	8
ISSN	0911-6028
DOIs	https://doi.org/10.1007/s11282-020-00468-5
Publication status	Published - Jan 2021

Keywords

Artificial intelligence
Machine learning
Deep learning
Dentistry
Radiology
CONVOLUTIONAL NEURAL-NETWORK
DEEP
CLASSIFICATION
DIAGNOSIS

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10.1007/s11282-020-00468-5

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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.",

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KW - Deep learning

KW - Dentistry

KW - Radiology

KW - CONVOLUTIONAL NEURAL-NETWORK

KW - DEEP

KW - CLASSIFICATION

KW - DIAGNOSIS

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A brief introduction to concepts and applications of artificial intelligence in dental imaging

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Keywords

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