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AI Augmented ECG Technology [electronic resource] / edited by Kang-Yin Chen, Tong Liu, Hua-Yue Tao.

Contributor(s): Material type: TextPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: VII, 140 p. 14 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819783595
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • RC666-701.2
Online resources:
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.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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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Biblioteca Universității "Dunărea de Jos" din Galați