Artificial Intelligence for Cardiovascular Disease
Advances in Treatment
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66 885 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher Apple Academic Press
- Date of Publication 3 April 2025
- ISBN 9781774918364
- Binding Hardback
- No. of pages236 pages
- Size 229x152 mm
- Weight 600 g
- Language English
- Illustrations 15 Illustrations, black & white; 5 Illustrations, color; 3 Halftones, black & white; 12 Line drawings, black & white; 5 Line drawings, color 650
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Short description:
Discusses use of nanoparticles as nanofertifilizers and their applications in agricultural science. Summarizes research and importance of nanotechnology in abiotic stress tolerance in crop plants, its various applications in crop growth enhancement under different stress conditions, and the uses of various nanoparticles.
MoreLong description:
“A ground-breaking compilation that focuses on the integration of artificial intelligence and machine learning applications in cardiovascular healthcare... Offers helpful insights into the enormous potential of AI to change the landscape of cardiovascular care, from basic AI concepts to the most recent developments in AI-assisted wearables and diagnostic imaging.”
—From the Foreword by Dr. Dhruv Galgotia, CEO–Galgotias University, India
Today, the need for effective and cutting-edge methods of diagnosis, treatment, and prevention of cardiovascular diseases is greater than ever before. Integrating deep learning and artificial intelligence into digital healthcare and medical environments has the potential to revolutionize cardiovascular health. The new book addresses this need by discussing emerging uses of artificial intelligence and machine learning in the prediction, diagnosis, treatment, and management of cardiovascular diseases. It looks at AI in wearable technology, nuclear cardiac imaging, coronary CT angiography, and non-contrast cardiac CT methods. It also explores the application of machine learning techniques in predicting and diagnosing cardiovascular diseases, revealing the potential for data-driven predictions and decisions that can improve patient outcomes. It explores the potential of AI in a variety of cardiology applications, including the classification of ECG signals, wearables with AI support, speech technologies in clinical settings, and more.
MoreTable of Contents:
1. Introduction to Artificial Intelligence and Its Role in Cardiovascular Disease 2. Artificial Intelligence Assisted Wearables for Cardiovascular Disease Monitoring 3. Imaging Biomarkers for Cardiovascular Disease and the Role of AI 4. Artificial Intelligence and Machine Learning for the Treatment of Cardiovascular Disease 5. Advancement in Treatment of Cardiovascular Disease by AI and Future Perspectives 6. AI-Based Methods and Their Applications for the Diagnosis and Detection of Cardiovascular Disease 7. Prediction of Cardiovascular Disease Using AI
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