Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology
Authors
Hwang, Eui JinGoo, Jin Mo
Yoon, Soon Ho
Beck, Kyongmin Sarah
Seo, Joon Beom
Choi, Byoung Wook
Chung, Myung Jin
Park, Chang Min
Jin, Kwang Nam
Lee, Sang Min
UMass Chan Affiliations
Department of RadiologyDocument Type
EditorialPublication Date
2021-09-13Keywords
Artificial intelligenceChest radiography
Computer-aided detection
Deep learning
Artificial Intelligence and Robotics
Radiology
Metadata
Show full item recordAbstract
Chest radiography (CR) is the primary examination for the evaluation and follow-up of various thoracic diseases. The number of examinations is steadily on the increase, as is evidenced by the national health insurance data in Korea. However, due to the relative shortage of experienced radiologists, many institutions cannot provide timely interpretation of CRs or depend on outsourcing for interpretation. In this background, artificial intelligence (AI) for the evaluation of CR has been actively investigated, and several AI-based software as medical devices (AI-SaMDs) have begun to be used in clinical practice. However, there has been limited discussion on how to use AI-SaMDs in clinical practice; there are also concerns about inappropriate use or abuse of AI-SaMDs resulting in patient harm and liability for physicians. This article introduces the current situation regarding the application of AI-SaMD for CR in clinical practice and presents the opinion of the Korean Society of Thoracic Radiology (KSTR) toward use of this application.Source
Hwang EJ, Goo JM, Yoon SH, Beck KS, Seo JB, Choi BW, Chung MJ, Park CM, Jin KN, Lee SM. Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology. Korean J Radiol. 2021 Nov;22(11):1743-1748. doi: 10.3348/kjr.2021.0544. Epub 2021 Sep 13. PMID: 34564966; PMCID: PMC8546139. Link to article on publisher's site
DOI
10.3348/kjr.2021.0544Permanent Link to this Item
http://hdl.handle.net/20.500.14038/42722PubMed ID
34564966Related Resources
Rights
Copyright © 2021 The Korean Society of Radiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://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.Distribution License
http://creativecommons.org/licenses/by-nc/4.0/ae974a485f413a2113503eed53cd6c53
10.3348/kjr.2021.0544
Scopus Count
Except where otherwise noted, this item's license is described as Copyright © 2021 The Korean Society of Radiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://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.