Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases

Towards Data-Driven Smart Healthcare

Haipeng Liu, Gary Tse

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040357279
• Edition: 0
• Topic: Technology & Engineering
• Index: Technology & Engineering

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 details on the 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 the macrovascular to microvascular levels, where early and accurate diagnosis is a high clinical need, for example, stroke, intracranial atherosclerosis, coronary artery disease, and microvascular dysfunction. 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, wearable sensors, genetic biomarkers, and multi-omics data integration. It summarizes the potentials, challenges, and ethical concerns in the implementation of these techniques under current clinical settings. It also discusses the future directions and perspectives 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, and practices in the diagnostics of cardiovascular diseases to resolve the challenging gaps in healthcare and clinical applications.

Table of contents

• Cover Page
• Half Title Page
• Title Page
• Copyright Page
• Contents
• About the Editors
• List of Contributors
• 1 Novel Approaches in Cardiovascular Diagnostics: Mapping the Research Landscape of the 21st Century
• 2 Cardiovascular Disease Detection and Monitoring Using Wearable Devices and Machine Learning
• 3 Wearable Electrocardiogram Sensors for Home Monitoring of Cardiovascular Diseases
• 4 Applications of Electroencephalography in Detecting Cerebral Small Vessel Disease
• 5 Neuroimaging Biomarkers for Diagnosing Cerebral Small Vessel Disease
• 6 Role of Plasma Inflammatory and Blood Biomarkers in Cerebral Small Vessel Disease
• 7 Model-Driven Prediction of Blood Pressure Leveraging Multimodal Sensing Data
• 8 Enhancing Cardiorespiratory and Vascular Assessment through the Enhancement of Photoplethysmography Signal: A Case Study of USPPG Signal Analysis
• 9 Enhanced Diagnosis of Myocardial Ischemia via Advanced Cardiac Imaging Techniques and Artificial Intelligence-Based Electrocardiogram-Derived Approaches
• 10 Myocardial Parameters for Detecting Coronary Microvascular Dysfunction
• 11 Integrating Advanced Sensing Technologies and Artificial Intelligence for Predicting Cardiovascular Risks: A Data-Driven Approach to Modern Healthcare
• 12 Applications of Artificial Intelligence in Coronary Computed Tomography Angiography: Progress and Challenges
• 13 Diagnosis and Treatment of Acute Ischemic Stroke Using Modern Neuroimaging and Artificial Intelligence
• 14 Mass Spectrometry-Based Multi-Omics Approaches to Discovering Biomarkers for Coronary Artery Disease
• Index