| |  Online-Ressource |
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| Titel: | AI Augmented ECG Technology |
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| Mitwirkende: | Chen, Kang-Yin [HerausgeberIn]  |
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| | Liu, Tong [HerausgeberIn] |
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| | Tao, Hua-Yue [HerausgeberIn] |
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| Verf.angabe: | edited by Kang-Yin Chen, Tong Liu, Hua-Yue Tao |
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| Ausgabe: | 1st ed. 2024. |
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| Verlagsort: | Singapore |
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| | Singapore |
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| Verlag: | Springer Nature Singapore |
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| | Imprint: Springer |
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| E-Jahr: | 2024 |
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| Jahr: | 2024. |
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| | 2024. |
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| Umfang: | 1 Online-Ressource(VII, 140 p. 14 illus. in color.) |
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| ISBN: | 978-981-9783-59-5 |
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| Abstract: | Overview of AI -- Iteration and Development of ECG Devices -- Clinical Application of AI-ECG -- Limitations and Challenges of AI-ECG -- Prospects and Prospects of AI-ECG. |
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| | This book mainly focuses on the application of AI technology in the field of ECG, and details the theoretical, practical, and evidence-based aspects of this technology. It extensively reviews the latest research reports, and discusses the application of artificial intelligence in the diagnosis and treatment of cardiovascular diseases. This book focuses on the application of artificial intelligence in the diagnosis and treatment of cardiovascular diseases, and discusses in depth its clinical application in the diagnosis and treatment of coronary heart disease, heart failure, arrhythmia, cardiac pacing, hypertension, myocardial disease, heart valve disease, electrolyte disorders, and other diseases. It not only provides an overview of medical artificial intelligence but also richly demonstrates its clinical practice, which will help cardiovascular doctors, electrocardiogram diagnostic doctors, or medical students to understand the basic theories, applications, and development direction of this field. |
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| DOI: | doi:10.1007/978-981-97-8359-5 |
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| URL: | Resolving-System: https://doi.org/10.1007/978-981-97-8359-5 |
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| | Cover: https://swbplus.bsz-bw.de/bsz1910707066cov.jpg |
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| | DOI: https://doi.org/10.1007/978-981-97-8359-5 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe |
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| K10plus-PPN: | 1910707066 |
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| Lokale URL UB: |  Zum Volltext |
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| | Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
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| |  Bestellen/Vormerken für Benutzer des Klinikums Mannheim
Eigene Kennung erforderlich |
| Bibliothek/Idn: | UW / m4630408207 |
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| Lokale URL Inst.: | Zum Volltext |
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AI Augmented ECG Technology / Chen, Kang-Yin [HerausgeberIn]; 2024. (Online-Ressource)
