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Novel Approaches in Cardiovascular Diagnostics: Mapping the Research Landscape of the 21st Century

  • Carlos Morgado Areia
  • , Michael Taylor
  • , Haipeng Liu
    • Oxford Brookes University
    • University of Wolverhampton

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Abstract

    This chapter provides a comprehensive scientometric analysis of novel approaches in cardiovascular diagnostics from 2000 to 2024. The study leverages advanced bibliometric tools to examine the evolution of key technologies, including artificial intelligence (AI), computational fluid dynamics, data fusion, genetic biomarkers, imaging technologies, nanodiagnosis, and wearables. Bespoke datasets are created using Dimensions and Altmetric data, as well Google Cloud products, to analyse publication trends, clinical trials, patent activity, and policy citations, amongst others. Key findings highlight the dominance of imaging technologies’ research volume, reflecting their central role in cardiovascular diagnostics. AI and genetic biomarkers are rapidly growing fields, enhancing diagnostic precision and personalised care. Emerging technologies like wearables and nanodiagnosis show promise for continuous monitoring and early detection. The chapter also explores the impact of COVID-19 on accelerating research, the shift towards AI and data-driven diagnostics, and the global contributions to cardiovascular research. The analysis of patent and policy citations underscores the real-world impact of these technologies, with imaging and genetic biomarkers leading in policy/clinical guidelines integration.
    Original languageEnglish
    Title of host publicationCutting-Edge Diagnostic Technologies in Cardiovascular Diseases
    Subtitle of host publicationTowards Data-Driven Smart Healthcare
    EditorsHaipeng Liu, Gary Tse
    PublisherCRC Press, Taylor & Francis Group
    Chapter1
    Pages1-27
    Number of pages27
    ISBN (Electronic)9781003481621
    ISBN (Print)9781032771694
    DOIs
    Publication statusPublished - 23 Jun 2025

    Bibliographical note

    Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Scientometric analysis
    • cardiovascular disease,
    • genetic biomarkers
    • nanodiagnosis,
    • wearables.

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