ReviewJournal of the Chinese Medical Association : JCMA2020
Use of radiographic features in COVID-19 diagnosis: Challenges and perspectives.
Review in Journal of the Chinese Medical Association : JCMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Artificial intelligence-based chest X-ray (AI-CXR) and hematology parameters to predict mortality and intubation events In COVID-19 patients at the second-referral hospital in Indonesia.BMC infectious diseases · 2026Article
- AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions.Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research · 2022Review
- A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection.Expert systems with applications · 2022Article
- Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model.The Journal of supercomputing · 2022Article
- A Deep Learning Ensemble Approach for Automated COVID-19 Detection from Chest CT Images.Journal of clinical medicine · 2021Article
- COVID-19 pneumonia: A review of typical radiological characteristics.World journal of radiology · 2021Review
- Residual Learning Diagnosis Detection: An Advanced Residual Learning Diagnosis Detection System for COVID-19 in Industrial Internet of Things.IEEE transactions on industrial informatics · 2021Article
- Diagnostic accuracy of physician's gestalt in suspected COVID-19: Prospective bicentric study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021Article
- Impact of screening COVID-19 on orthopedic trauma patients at the emergency department: A consecutive series from a level I trauma center.Journal of the Chinese Medical Association : JCMA · 2021Observational
- Epidemiology and clinical features of emergency department patients with suspected and confirmed COVID-19: A multisite report from the COVID-19 Emergency Department Quality Improvement Project for July 2020 (COVED-3).Emergency medicine Australasia : EMA · 2021Article
- Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19.Cognitive computation · 2021Article
- Automatic Segmentation of Novel Coronavirus Pneumonia Lesions in CT Images Utilizing Deep-Supervised Ensemble Learning Network.Frontiers in medicine · 2021Article
- Clinical manifestation and disease progression in COVID-19 infection.Journal of the Chinese Medical Association : JCMA · 2021Review
- Diagnosing COVID-19 in the Emergency Department: A Scoping Review of Clinical Examinations, Laboratory Tests, Imaging Accuracy, and Biases.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid surge and wide spread of the coronavirus disease-2019 (COVID-19) overshadows the entire medical industries worldwide. The stringent medical resources hinder the diagnostic capacity globally, while 84 000 of new cases confirmed within a single day of April 14, 2020. Real-time reverse-transcription polymerase chain reaction (RT-PCR) with is the current first-line diagnosis, but the false-negative rate remains concerned. Radiographic technologies and tools, including computed tomography (CT) and chest X-ray, were applied for initial screening and follow-up, from which the tools provide detail diagnosis with specific pathologic features for staging and treatment arrangement. Although the radiographic imaging is found less sensitive, numerous CT-positive patients were not screened out by RT-PCR initially and later confirmed as COVID-19 positive. Besides, the shortage of sampling kits and the longer turn-over time of PCR examinations in some areas were noticed due to logistic issues and healthcare burden. In this review, we will discuss the challenges and the future perspectives of using radiographic modalities for COVID-19 diagnosis in view of securing human lives amid the crisis.
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Registered trials
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