Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia-Reference-Cited by-同舟云学术

Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia

Published:2023 Issue:12 Volume:24 Page:1179
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Kim Dong Yeong¹^ORCID,Oh Hyun Woo²^ORCID,Suh Chong Hyun¹^ORCID

Affiliation:

1. Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

2. NAVER Inc., Seongnam, Republic of Korea.

Funder

National Research Foundation of Korea

Publisher

XMLink

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2023.1027

Reference69 articles.

1. Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis

2. Radiologist’s Guide to Evaluating Publications of Clinical Research on AI: How We Do It

3. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

4. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

5. Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers

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