Artificial Intelligence as a Diagnostic Tool in Non-Invasive Imaging in the Assessment of Coronary Artery Disease.
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| Title: | Artificial Intelligence as a Diagnostic Tool in Non-Invasive Imaging in the Assessment of Coronary Artery Disease. |
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| Authors: | Doolub G; Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1TH, UK.; Department of Cardiology, Bristol Heart Institute, Bristol BS2 8ED, UK., Mamalakis M; Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield S10 2TN, UK.; INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sheffield S10 2TN, UK., Alabed S; Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield S10 2TN, UK.; INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sheffield S10 2TN, UK., Van der Geest RJ; Department of Radiology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands., Swift AJ; Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield S10 2TN, UK.; INSIGNEO Institute for in Silico Medicine, The University of Sheffield, Sheffield S10 2TN, UK., Rodrigues JCL; Department of Radiology, Royal United Hospitals, Bath BA1 3NG, UK.; Department of Health, University of Bath, Bath BA2 7AY, UK., Garg P; Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK., Joshi NV; Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1TH, UK.; Department of Cardiology, Bristol Heart Institute, Bristol BS2 8ED, UK., Dastidar A; Department of Cardiology, Bristol Heart Institute, Bristol BS2 8ED, UK.; Department of Cardiology, Southmead Hospital, North Bristol NHS Trust, Bristol BS10 5NB, UK. |
| Source: | Medical sciences (Basel, Switzerland) [Med Sci (Basel)] 2023 Feb 24; Vol. 11 (1). Date of Electronic Publication: 2023 Feb 24. |
| Publication Type: | Review; Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101629322 Publication Model: Electronic Cited Medium: Internet ISSN: 2076-3271 (Electronic) Linking ISSN: 20763271 NLM ISO Abbreviation: Med Sci (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2076-3271 |
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| DOI: | 10.3390/medsci11010020 |
