Artificial Intelligence for Cardiovascular Disease
Apple Academic Press Inc. (Verlag)
978-1-77491-836-4 (ISBN)
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Today, the need for effective and cutting-edge methods of diagnosis, treatment, and prevention of cardiovascular diseases is greater than ever before because it is the top cause of death worldwide. Integrating deep learning and artificial intelligence into digital healthcare and medical environments has the potential to revolutionize cardiovascular health. The new book, Advances in Artificial Intelligence for Cardiovascular Disease: Diagnosis, Treatment, and Future Perspectives, addresses this need by discussing emerging uses of artificial intelligence (AI) and machine learning (ML) in the prediction, diagnosis, treatment, and management of cardiovascular diseases.
Divided into seven chapters, each chapter explores distinct facets of AI’s integration with cardiovascular disease management. The book provides an overview of AI’s core ideas and its vital roles in cardiovascular medicine, exploring the areas of machine learning and deep learning and its uses in healthcare and digital medical contexts. It looks at the world of wearable technology and how it interacts with AI algorithms. It also observes the function of cardiac imaging with an emphasis on nuclear cardiology, coronary CT angiography, and non-contrast cardiac CT methods that have the potential to completely change the way cardiovascular illness is diagnosed. 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 also explores the potential of AI in a variety of cardiology applications, including the classification of ECG signals, wearables with AI support, and speech technologies in clinical settings. The book investigates the use of IoT and mobile health technologies to implement AI in the diagnosis of cardiovascular disease. Big data and AI’s capacity to forecast the dangers of cardiovascular diseases are also covered.
The book addresses contemporary difficulties and challenges in the management of cardiovascular illnesses by focusing on the therapeutic implications of deep learning and biomarker identification utilizing AI approaches. The presented insights will motivate researchers, medical professionals, and tech enthusiasts to embrace AI’s transformative potential in cardiovascular healthcare.
Rishabha Malviya, PhD, has 11 years of research experience and is presently working as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, India. His areas of interest include formulation optimization, nanoformulation, targeted drug delivery, localized drug delivery, and characterization of natural polymers as pharmaceutical excipients. He has authored more than 200 research and review papers for national and international journals of repute. He has over 55 patents to his name and many publications in reputed national and international journals (with a total of 225 cumulative impact factor). He has also received an Outstanding Reviewer Award from Elsevier. He has edited over 45 books (Wiley, Springer Nature, CRC Press/Taylor and Francis, Apple Academic Press, River Publisher, Lambert, etc.) and authored more than 30 book chapters. His name has been included in the Stanford University’s World’s Top 2% Scientists, 2020 by Elsevier BV and Stanford University. He is reviewer, editor, and editorial board member of more than 50 national and international journals. He was an invited author for the magazine Atlas of Science as well as a pharma magazine dealing with the B2B industry, Ingredients South Asia. He completed his BPharm at Uttar Pradesh Technical University and MPharm (Pharmaceutics) at Gautam Buddha Technical University, Lucknow, Uttar Pradesh, India. His PhD (Pharmacy) work was in novel formulation development techniques. Shivam Rajput, MPharm, completed his bachelor’s in Pharmacy at Pt. B. D. Sharma University of Health Sciences, Rohtak, and his master’s at Galgotias University, Greater Noida, India. He has presented many papers in national and international conferences. He has also authored six SCI/Scopus papers with a more than 10 cumulative impact factor. Deepa Muthiah, PhD, is an Assistant Professor specializing in general medicine in the Department of Cardiovascular Technology at Galgotias University, India, where she has been since January 2018. She has previously worked as a Resident Medical Officer at Chettinad Medical Centre, VIT Vellore Campus, and VIT, Vellore Campus, India. In additional, she has gained international experience as a Senior House Officer (Accident & Emergency) at King George Hospital in Essex, UK. Dr. Muthiah has been recognized for her contributions to research, receiving the Galgotias University Research Award in both 2019 and 2020. Her innovative work has led to the filing of patents, including ""Cerbro Ondular Transferring Device," co-developed with Dr. B. Balamurugan, G. Subha Keerthana, and Dr. R. Senthil Kumar, as well as the ""Smart COVID Mask,"" a collaborative effort with several other researchers. Dedicated to academic advancement, she has presented her research findings at international conferences, such as the 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). She has also participated in various faculty development programs (FDPs), including those organized by Galgotias University and the National Intellectual Property Awareness Mission. A member of prestigious professional organizations, Dr. Muthiah is associated with the Indian Medical Association, Tamil Nadu Medical Council, and Karnataka Medical Council. Her commitment to advancing medical knowledge and practice is evident in her research papers published in renowned journals.
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: Future Perspectives 6. AI-Based Methods and Their Applications for the Diagnosis and Detection of Cardiovascular Disease 7. Prediction of Cardiovascular Disease Using AI
| Erscheint lt. Verlag | 1.4.2025 |
|---|---|
| Zusatzinfo | 5 Illustrations, color; 15 Illustrations, black and white |
| Verlagsort | Oakville |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizinische Fachgebiete ► Innere Medizin ► Kardiologie / Angiologie | |
| Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie | |
| Technik ► Medizintechnik | |
| ISBN-10 | 1-77491-836-6 / 1774918366 |
| ISBN-13 | 978-1-77491-836-4 / 9781774918364 |
| Zustand | Neuware |
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