ArticleRadiology. Artificial intelligence2021
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise.
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Article in Radiology. Artificial intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15citing papers in PubMed
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What it found
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Who cites it
15 citing papers in PubMed.
- Review and recommendations for using artificial intelligence in intracoronary optical coherence tomography analysis.European heart journal. Digital health · 2025Review
- A Pipeline for Automated Quality Control of Chest Radiographs.Radiology. Artificial intelligence · 2025Article
- A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.NPJ digital medicine · 2025Article
- A medical multimodal large language model for future pandemics.NPJ digital medicine · 2023Article
- Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis.Computer methods and programs in biomedicine · 2023Article
- A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data.Scientific data · 2023Article
- Automatic COVID-19 and Common-Acquired Pneumonia Diagnosis Using Chest CT Scans.Bioengineering (Basel, Switzerland) · 2023Article
- Enhancing physicians' radiology diagnostics of COVID-19's effects on lung health by leveraging artificial intelligence.Frontiers in bioengineering and biotechnology · 2023Article
- A scoping review on the use of natural language processing in research on political polarization: trends and research prospects.Journal of computational social science · 2023Article
- Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.Applied soft computing · 2022Article
- Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond.An international journal on information fusion · 2022Article
- Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.Journal of personalized medicine · 2021Article
- Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections.Frontiers in medicine · 2021Article
- Developing a Screening Procedure During the COVID-19 Pandemic: Process and Challenges Faced by a Low-Incidence Area.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Derek DriggsDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).ORCID https://orcid.org/0000-0003-1582-5884
Ian SelbyDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).
Michael RobertsDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).
Effrossyni Gkrania-KlotsasDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).ORCID https://orcid.org/0000-0002-0930-8330
James H F RuddDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).ORCID https://orcid.org/0000-0003-2243-3117
Guang YangDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).ORCID https://orcid.org/0000-0001-7344-7733
Judith BabarDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).
Evis SalaDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).ORCID https://orcid.org/0000-0002-5518-9360
Carola-Bibiane SchönliebDepartment of Applied Mathematics and Theoretical Physics (D.D., M.R., C.B.S.) and Division of Cardiovascular Medicine (J.H.F.R.), University of Cambridge, Cambridge, England; Department of Radiology, School of Clinical Medicine, University of Cambridge and CRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, England (I.S., J.B., E.S.); Oncology R&D, AstraZeneca, Cambridge, England (M.R.); Department of Infectious Diseases, University of Cambridge Hospitals, Cambridge, England (E.G.K.); and National Heart and Lung Institute, Imperial College London, London, England (G.Y.).
AIX-COVNET collaboration
Funding
Cancer Research UK 28667Medical Research Council G0701652Medical Research Council MC_PC_21013Medical Research Council MR/V023799/1Wellcome Trust
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