ArticleKorean journal of radiology2021
Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology.
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Article in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
34 citing papers in PubMed, 43 citations in OpenAlex.
- Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial.Korean journal of radiology · 2023Trial
- QHealthcare (Basel, Switzerland) · 2026Article
- Artificial Intelligence Analysis of Chest Radiographs for Predicting Major Adverse Events in Patients Visiting the Emergency Department With Acute Cardiopulmonary Symptoms.Korean journal of radiology · 2025Article
- External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study.Journal of medical Internet research · 2025Article
- Artificial Intelligence-Based Software as a Medical Device (AI-SaMD): A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points.Scientific reports · 2024Article
- Factors for increasing positive predictive value of pneumothorax detection on chest radiographs using artificial intelligence.Scientific reports · 2024Article
- [Clinical Application of Artificial Intelligence-Based Detection Assistance Devices for Chest X-Ray Interpretation: Current Status and Practical Considerations].Journal of the Korean Society of Radiology · 2024Review
- 2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology.Korean journal of radiology · 2024Article
- Development of a new prognostic model to predict pneumonia outcome using artificial intelligence-based chest radiograph results.Scientific reports · 2024Article
- Caveats in Using Abnormality/Probability Scores from Artificial Intelligence Algorithms: Neither True Probability nor Level of Trustworthiness.Korean journal of radiology · 2024Article
- Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings.Scientific reports · 2024Observational
- AI for Detection of Tuberculosis: Implications for Global Health.Radiology. Artificial intelligence · 2024Article
- Impact of AI-assisted CXR analysis in detecting incidental lung nodules and lung cancers in non-respiratory outpatient clinics.Frontiers in medicine · 2024Article
- Human-AI Symbiosis: A Path Forward to Improve Chest Radiography and the Role of Radiologists in Patient Care.Radiology · 2024Article
- Clinical outcomes and actual consequence of lung nodules incidentally detected on chest radiographs by artificial intelligence.Scientific reports · 2023Article
- The diagnostic performance and clinical value of deep learning-based nodule detection system concerning influence of location of pulmonary nodule.Insights into imaging · 2023Article
- Novel Risks of Unfavorable Corticosteroid Response in Patients with Mild-to-Moderate COVID-19 Identified Using Artificial Intelligence-Assisted Analysis of Chest Radiographs.Journal of clinical medicine · 2023Article
- Effects of Implementing Artificial Intelligence-Based Computer-Aided Detection for Chest Radiographs in Daily Practice on the Rate of Referral to Chest Computed Tomography in Pulmonology Outpatient Clinic.Korean journal of radiology · 2023Article
- How to Determine If One Diagnostic Method, Such as an Artificial Intelligence Model, is Superior to Another: Beyond Performance Metrics.Korean journal of radiology · 2023Article
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 3 countries.
Eui Jin HwangDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-3697-5542
Jin Mo GooDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-1791-7942
Soon Ho YoonDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-3700-0165
Kyongmin Sarah BeckDepartment of Radiology, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID 0000-0002-9262-1001
Joon Beom SeoDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID 0000-0003-0271-7884
Byoung Wook ChoiDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-8873-5444
Myung Jin ChungDepartment of Radiology and Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-6271-3343
Chang Min ParkDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-1884-3738
Kwang Nam JinDepartment of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID 0000-0001-5494-9113
Sang Min LeeDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID 0000-0001-7627-2000
New Generation University College · ETSeoul National University · KRUlsan College · KRSamsung Medical Center · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRUMass Memorial Health Care · USYonsei University · KR
Funding
Korean Society of Thoracic Radiology
Abstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceRadiologyHumansRadiographyRadiography, ThoracicRepublic of KoreaSoftwareArtificial intelligenceChest radiographyComputer-aided detectionDeep learning
Identifiers
What OpenQuestion holds
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LicenceCC BY-NC
Read underepoch 390
Registered trials
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.