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  • AI Augmented ECG Technology

    AI Augmented ECG Technology by Chen, Kang-Yin; Liu, Tong; Tao, Hua-Yue;

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      • Publisher's listprice EUR 117.69
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        48 811 Ft (46 487 Ft + 5% VAT)
      • Discount 20% (cc. 9 762 Ft off)
      • Discounted price 39 049 Ft (37 190 Ft + 5% VAT)

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    Product details:

    • Edition number 2024
    • Publisher Springer Nature Singapore
    • Date of Publication 27 November 2024
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819783588
    • Binding Hardback
    • No. of pages140 pages
    • Size 235x155 mm
    • Language English
    • Illustrations VII, 140 p. 14 illus. in color. Illustrations, color
    • 607

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    Long description:

    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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    Table of Contents:

    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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