Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice-Reference-Cited by-同舟云学术

Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice

Published:2022 Issue:9 Volume:23 Page:847
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Lee Seungsoo¹^ORCID,Shin Hyun Joo¹^ORCID,Kim Sungwon²^ORCID,Kim Eun-Kyung¹^ORCID

Affiliation:

1. Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.

2. Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2022.0193

Reference23 articles.

1. Putting artificial intelligence (AI) on the spot: machine learning evaluation of pulmonary nodules

2. Clinical Implementation of Deep Learning in Thoracic Radiology: Potential Applications and Challenges

3. Competency in chest radiography

4. Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

5. Computer-aided diagnosis in chest radiography: Beyond nodules

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