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



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Autore: Chen Kang-Yin Visualizza persona
Titolo: AI Augmented ECG Technology / / edited by Kang-Yin Chen, Tong Liu, Hua-Yue Tao Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (144 pages)
Disciplina: 616.12
Soggetto topico: Cardiology
Artificial intelligence
Artificial Intelligence
Cardiologia
Intel·ligència artificial
Soggetto genere / forma: Llibres electrònics.
Altri autori: LiuTong  
TaoHua-Yue  
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: AI Augmented ECG Technology  Visualizza cluster
ISBN: 9789819783595
9819783593
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910911290703321
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