Leveraging AI and ML in Cardiovascular Diagnosis and Management
- 1st Edition - April 1, 2027
- Latest edition
- Editors: Rosaline Mishra, Radha Goel, Praveen Kumar Gaur, Mohd Nazam Ansari
- Language: English
Leveraging AI and ML in Cardiovascular Diagnosis and Management examines how artificial intelligence and machine learning transform cardiovascular care. It gathers chapters from l… Read more
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Description
Description
Leveraging AI and ML in Cardiovascular Diagnosis and Management examines how artificial intelligence and machine learning transform cardiovascular care. It gathers chapters from leading researchers to bridge clinical practice with cutting-edge analytics, imaging, and decision support. The volume details core topics across the field, including fundamentals of AI/ML, AI-driven cardiovascular imaging, predictive analytics for risk stratification, heart failure management, arrhythmia detection, wearable-enabled monitoring, and the integration of multi-omics with clinical data. It also addresses neurocardiology, clinical decision support systems, ethics, and regulatory considerations, all framed for cardiovascular scientists and clinicians. For academics, clinicians, and educators, the book offers actionable workflows, a cohesive framework for translating AI and ML advances into improved diagnosis, treatment personalization, and patient outcomes across diverse populations.
Key features
Key features
- Provides validated workflows for integrating AI/ML into cardiovascular practice, including data processing, model validation, and clinical decision support
- Offers case-based guidance and real-world examples spanning imaging, risk stratification, and treatment optimization
- Delivers a global, interdisciplinary contributor network that ensures diverse perspectives and up-to-date techniques in cardiovascular AI
Readership
Readership
Scholars and clinicians in cardiovascular medicine, biomedical engineering, and data science seeking practical AI-driven approaches
Table of contents
Table of contents
1. Introduction to AI and ML in Cardiovascular Medicine
2. Fundamentals of Machine Learning for Cardiovascular Applications
3. AI-Driven Cardiovascular Imaging: Techniques and Innovations
4. Predictive Analytics for Cardiovascular Risk Stratification
5. AI in Heart Failure Management
6. Deep Learning for Arrhythmia Detection and Classification
7. Wearable Devices and AI for Real-Time Cardiovascular Monitoring
8. Deep Learning for Precision Cardiovascular Medicine
9. AI in Neurocardiology: The Heart-Brain Axis
10. Clinical Decision Support Systems Powered by AI
11. Addressing Bias, Privacy, and Ethical Challenges in AI-Powered Cardiology
12. Clinical Trials and Validation of AI Tools in Cardiovascular Medicine
13. Case Studies: Successful AI Implementations in Cardiovascular Care
14. Future Directions: Digital Twins, Multi-omics Integration, and Predictive Analytics
15. Regulatory Landscape and Policy Considerations for AI in Cardiology
2. Fundamentals of Machine Learning for Cardiovascular Applications
3. AI-Driven Cardiovascular Imaging: Techniques and Innovations
4. Predictive Analytics for Cardiovascular Risk Stratification
5. AI in Heart Failure Management
6. Deep Learning for Arrhythmia Detection and Classification
7. Wearable Devices and AI for Real-Time Cardiovascular Monitoring
8. Deep Learning for Precision Cardiovascular Medicine
9. AI in Neurocardiology: The Heart-Brain Axis
10. Clinical Decision Support Systems Powered by AI
11. Addressing Bias, Privacy, and Ethical Challenges in AI-Powered Cardiology
12. Clinical Trials and Validation of AI Tools in Cardiovascular Medicine
13. Case Studies: Successful AI Implementations in Cardiovascular Care
14. Future Directions: Digital Twins, Multi-omics Integration, and Predictive Analytics
15. Regulatory Landscape and Policy Considerations for AI in Cardiology
Product details
Product details
- Edition: 1
- Latest edition
- Published: April 1, 2027
- Language: English
About the editors
About the editors
RM
Rosaline Mishra
Dr. Rosaline Mishra is a highly experienced and accomplished academic with over 14 years of teaching and research experience. She completed her PhD at Uttarakhand Technical University, a government-established university in Uttarakhand, India. She has published more than 50 technical publications in top international and national journals and conferences. She also holds three patents, two registered with the Government of India and one registered with the Government of South Africa. Dr. Mishra serves as a reviewer for several international journals indexed in the Web of Science. She was conferred the Dynamic Professor of the Year Award at the Education Excellence Awards in April 2023, organized by Kites Kraft Productions.
Affiliations and expertise
Metro College of Health Sciences and Research, IndiaRG
Radha Goel
Dr. Radha Goel is working as Professor at Lloyd Institute of Management and Technology, Greater Noida, Uttar Pradesh. She has 20 years of academic and research experience. She is an alumnus of Jamia Hamdard, Hamdard University, New Delhi, one of India’s Best Research Institutes. Dr. Radha received the Best Teacher Award under ‘Overall Category’ by Dr. APJ Abdul Kalam University, Lucknow in 2022. She received a research grant and a travel grant from Abdul Kalam Technical University, Lucknow. She has published more than 30 scientific research, reviewed many chapters and articles in imperative journals, 4 patents published, 2 patents granted , and authored 4 books. She has been a peer reviewer as well as an editorial board member of several reputed journals.
Affiliations and expertise
Lloyd Institute of Management and Technology (Pharm.), IndiaPG
Praveen Kumar Gaur
Dr. Praveen Kumar Gaur is serving as Principal and Professor at Metro College of Health Sciences & Research (MCHSR-Pharmacy), Greater Noida. He has more than 16 years of experience in teaching graduate and postgraduate students. Dr. Gaur serves on the editorial boards of several International journals across a range of fields including nanotechnology, transdermal Drug Delivery and, Novel Drug Delivery Systems. He has received the Visvesvaraya Research Promotion Scheme (VRPS) research grant by the Honorable Chief Minister of Uttar Pradesh Shri Yogi Adityanath funded by Dr. A.P.J. Abdul Kalam Technical University, Lucknow.
Affiliations and expertise
Metro College of Health Sciences and Research, IndiaMA
Mohd Nazam Ansari
Dr. Mohd Nazam Ansari is an Assistant Professor in the Department of Pharmacology at Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia. He earned a PhD in Pharmacology from Jamia Hamdard, New Delhi. Earlier, he worked as a Project Associate on a UGC-funded major research project. He is a life member of the Indian Pharmacological Society and a member of the Indian Society for Technical Education. He also serves as a reviewer for several journals across pharmacology and related fields. His honors include a travel grant for young pharmacologists and an UGC scholarship; he is registered with the Delhi Pharmacy Council. He has led numerous research projects, published extensively, and contributed abstracts to scientific journals and meetings. He has participated in various workshops and training programs to advance his expertise.
Affiliations and expertise
Prince Sattam bin Abdulaziz University, Saudi Arabia