Vai al contenuto principale della pagina
| Autore: |
Chen Kang-Yin
|
| Titolo: |
AI Augmented ECG Technology / / edited by Kang-Yin Chen, Tong Liu, Hua-Yue Tao
|
| 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 ![]() |
| ISBN: | 9789819783595 |
| 9819783593 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910911290703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |