Abstract
This chapter discusses how the integration of Artificial Intelligence (AI) into cardiology has improved clinical practice in the field, offering tools that enhance diagnostic accuracy, streamline workflows, and personalise patient care. The application of different AI tools currently used to aid diagnosis/treatment of specific pathologies in all imaging modalities is explored. The impact of the integration of AI into wearable devices is discussed alongside the challenges and limitations for the future.
| Original language | English |
|---|---|
| Title of host publication | Digital Healthcare and Artificial Intelligence |
| Subtitle of host publication | A Primer for Clinicians and Students |
| Editors | Claire Rainey, Sonyia McFadden, Jonathan McConnell |
| Place of Publication | UK |
| Publisher | Taylor & Francis |
| Chapter | 8 |
| Number of pages | 12 |
| Volume | 1 |
| Edition | 1 |
| ISBN (Electronic) | 9781032709956 |
| Publication status | Published (in print/issue) - 2 Feb 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- AI
- CARDIOLOGY
Fingerprint
Dive into the research topics of 'AI in Cardiology'. Together they form a unique fingerprint.Student theses
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A data science approach to understanding heart failure
Jasinska-Piadlo, A. (Author), Bond, R. (Supervisor), Biglarbeigi, P. (Supervisor), McEneaney, D. (Supervisor), Campbell, P. (Supervisor) & Finlay, D. (Supervisor), May 2026Student thesis: Doctoral Thesis
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