UMMS Affiliation

Department of Radiology

Publication Date

2021-09-13

Document Type

Editorial

Disciplines

Artificial Intelligence and Robotics | Radiology

Abstract

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.

Keywords

Artificial intelligence, Chest radiography, Computer-aided detection, Deep learning

Rights and Permissions

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.

DOI of Published Version

10.3348/kjr.2021.0544

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

Journal/Book/Conference Title

Korean journal of radiology

Related Resources

Link to Article in PubMed

PubMed ID

34564966

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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