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Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases by Haipeng Liu (Hardback)
£140.00
Available
Product Ref. (e.g. ISBN, SKU)
9781032771694
Published:
23 Jun 2025
Format:
Hardback
Number of pages:
352 pages
Weight:
0.000kgs
Author:
This book provides a comprehensive overview of cutting-edge technologies in the diagnosis of multiple cardiovascular disease. Readers will understand technical advancements and research gaps, which will help them to optimize the design of algorithms and devices.
This book provides a comprehensive overview of cutting-edge technologies in the diagnosis of multiple cardiovascular disease. Readers will understand technical advancements and research gaps, which will help them to optimize the design of algorithms and devices.Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases: Towards Data-Driven Smart Healthcare provides the details of adoption and implementation of advanced diagnostic techniques in different clinical settings including population screening, clinical diagnosis, risk prediction, data-driven diagnosis, and remote healthcare monitoring. It also covers various cardiovascular diseases from macrovascular to microvascular levels where early and accurate diagnosis is a high clinical need, e.g., stroke, intracranial atherosclerosis, coronary artery disease, coronary microvascular dysfunction, and peripheral artery disease. The book is a practical guide with case studies, and the authors cover a wide range of cutting-edge diagnostic techniques, including artificial intelligence, radiological imaging, computational fluid dynamics simulation, wearable sensors, genetic biomarkers, and data fusion. It summarizes the potentials, challenges, and research ethic concerns in the implementation under current clinical settings. It also discusses the future directions and prospectives for next-generation diagnostics based on AI-enhanced multimodal data fusion. This book targets a mixed audience of data scientists, engineers, clinicians, researchers, academics, and students interested in cutting-edge technologies, methodologies, frameworks, and practices in the diagnostics of cardiovascular diseases to resolve the challenging gaps in healthcare and clinical applications.
About the Author: Haipeng Liu received his Bachelor and master's in engineering degrees from Zhejiang University, China, in 2012 and 2015, respectively, and Doctor of Philosophy in Medical Sciences from the Chinese University of Hong Kong, in 2018. From 2019 to 2020, he was a research fellow with the Medical Technology Research Center, Anglia Ruskin University. Since 2020, he has been a research fellow with Coventry University, UK. His research interests include biomechanics, physiological measurement, and computational simulation of cardiovascular diseases.Gary Tse completed his pre-clinical training at Trinity Hall, Cambridge (2008), and was subsequently awarded a Doctor of Philosophy (Ph.D.) in Cardiac Electrophysiology (2015) and Doctor of Medicine (M.D.) in Cardiovascular Epidemiology (2022) from the University of Cambridge. He was elected a Fellow of the European Society of Cardiology (2016), Fellow of the American College of Cardiology (2017), Heart Rhythm Society (2018), Royal College of Physicians of London (2019), Royal College of Pediatrics and Child Health (2019), and Royal College of Pathologists (2022). Currently, he leads a team of researchers from China (Tianjin, Hong Kong) and the UK (Kent, Surrey and London) focusing on the use of big data for cardiovascular risk prediction. He serves on the Council of the International Society of Electrocardiology, for which he is currently its secretary, Board of Trustee Member of the International Society for Noninvasive Electrocardiology and Nucleus Committee Member of the Population Health Section, European Association of Preventive Cardiology.
| Number of pages | 352 |
|---|
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| First Item | 2 Items & Over | |
|---|---|---|
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| EU | £15.00 | £30.00 |
| USA & Canada | £30.00 | £50.00 |
| Rest of the World | £45.00 | £60.00 |
| Collect in Store | free | free |
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