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코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용
Coronavirus disease (COVID-19) has threatened public health as a global pandemic. Chest CT and radiography are crucial in managing COVID-19 in addition to reverse transcription-polymerase chain reaction, which is the gold standard for COVID-19 diagnosis. This is a review of the current status of the...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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The Korean Society of Radiology
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9431829/ https://www.ncbi.nlm.nih.gov/pubmed/36237723 http://dx.doi.org/10.3348/jksr.2020.0138 |
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collection | PubMed |
description | Coronavirus disease (COVID-19) has threatened public health as a global pandemic. Chest CT and radiography are crucial in managing COVID-19 in addition to reverse transcription-polymerase chain reaction, which is the gold standard for COVID-19 diagnosis. This is a review of the current status of the use of chest CT and radiography in COVID-19 diagnosis and management and an introduction of early representative studies on the application of artificial intelligence to chest CT and radiography. The authors also share their experiences to provide insights into the future value of artificial intelligence. |
format | Online Article Text |
id | pubmed-9431829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Society of Radiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-94318292022-10-12 코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용 Taehan Yongsang Uihakhoe Chi Deep Learning Model for Medical Imaging Coronavirus disease (COVID-19) has threatened public health as a global pandemic. Chest CT and radiography are crucial in managing COVID-19 in addition to reverse transcription-polymerase chain reaction, which is the gold standard for COVID-19 diagnosis. This is a review of the current status of the use of chest CT and radiography in COVID-19 diagnosis and management and an introduction of early representative studies on the application of artificial intelligence to chest CT and radiography. The authors also share their experiences to provide insights into the future value of artificial intelligence. The Korean Society of Radiology 2020-11 2020-11-30 /pmc/articles/PMC9431829/ /pubmed/36237723 http://dx.doi.org/10.3348/jksr.2020.0138 Text en Copyrights © 2020 The Korean Society of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Deep Learning Model for Medical Imaging 코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용 |
title | 코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용 |
title_full | 코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용 |
title_fullStr | 코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용 |
title_full_unstemmed | 코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용 |
title_short | 코로나바이러스감염증 2019에서 흉부X선사진 및 CT의 역할과 인공지능의 적용 |
title_sort | 코로나바이러스감염증 2019에서 흉부x선사진 및 ct의 역할과 인공지능의 적용 |
topic | Deep Learning Model for Medical Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9431829/ https://www.ncbi.nlm.nih.gov/pubmed/36237723 http://dx.doi.org/10.3348/jksr.2020.0138 |
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