Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science
We are witnessing the big wave of Industrial Revolution 4.0, enabled by artificial intelligence (AI) and big data, which has shaken the entire industry and day-to-day life as well as rapidly changed the landscapes of related academic disciplines. After the introduction of genome sequencing and an...
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The Korean Society of Radiology
2019-03-01
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Online Access: | https://doi.org/10.3348/jksr.2019.80.2.176 |
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doaj-d77594ea6d3d491e87ec87ce2dbda1342020-11-25T01:14:08ZengThe Korean Society of Radiology대한영상의학회지1738-26372288-29282019-03-01802176201https://doi.org/10.3348/jksr.2019.80.2.176Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data ScienceJong Hyo Kim0Department of Radiology, Seoul National University College of Medicine, Seoul, KoreaWe are witnessing the big wave of Industrial Revolution 4.0, enabled by artificial intelligence (AI) and big data, which has shaken the entire industry and day-to-day life as well as rapidly changed the landscapes of related academic disciplines. After the introduction of genome sequencing and analysis technology, biology and medical sciences have been rapidly transforming into data science. Radiology is facing a challenging period of transformation into a data science. This review article draws attention to imaging informatics as a vehicle to open a new horizon and to drive to the future path for radiology in the AI and big data era. We introduce the basic concepts of imaging informatics and consider the informatics features of picture archiving and communication system and digital imaging and communications in medicine. We discuss the concepts and differences of radiogenomics and radiomics, which are important specialties of imaging informatics. We introduce the basics of AI and its recent applications in radiology as well as requirements for the successful construction of big data for imaging informatics. We conclude by discussing unresolved issues, potential solutions, and directions for future developments.https://doi.org/10.3348/jksr.2019.80.2.176medical informaticsradiology information systembig dataartificial intelligencecomputational biologygenomics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jong Hyo Kim |
spellingShingle |
Jong Hyo Kim Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science 대한영상의학회지 medical informatics radiology information system big data artificial intelligence computational biology genomics |
author_facet |
Jong Hyo Kim |
author_sort |
Jong Hyo Kim |
title |
Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science |
title_short |
Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science |
title_full |
Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science |
title_fullStr |
Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science |
title_full_unstemmed |
Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science |
title_sort |
imaging informatics: a new horizon for radiology in the era of artificial intelligence, big data, and data science |
publisher |
The Korean Society of Radiology |
series |
대한영상의학회지 |
issn |
1738-2637 2288-2928 |
publishDate |
2019-03-01 |
description |
We are witnessing the big wave of Industrial Revolution 4.0, enabled by artificial intelligence (AI)
and big data, which has shaken the entire industry and day-to-day life as well as rapidly changed
the landscapes of related academic disciplines. After the introduction of genome sequencing
and analysis technology, biology and medical sciences have been rapidly transforming into data
science. Radiology is facing a challenging period of transformation into a data science. This review article draws attention to imaging informatics as a vehicle to open a new horizon and to
drive to the future path for radiology in the AI and big data era. We introduce the basic concepts
of imaging informatics and consider the informatics features of picture archiving and communication system and digital imaging and communications in medicine. We discuss the concepts
and differences of radiogenomics and radiomics, which are important specialties of imaging informatics. We introduce the basics of AI and its recent applications in radiology as well as requirements for the successful construction of big data for imaging informatics. We conclude by
discussing unresolved issues, potential solutions, and directions for future developments. |
topic |
medical informatics radiology information system big data artificial intelligence computational biology genomics |
url |
https://doi.org/10.3348/jksr.2019.80.2.176 |
work_keys_str_mv |
AT jonghyokim imaginginformaticsanewhorizonforradiologyintheeraofartificialintelligencebigdataanddatascience |
_version_ |
1725158649314148352 |