Background:
In the real world, medical practice is changing hand in hand with the development of new Artificial
Intelligence (AI) systems and problems from different areas have been successfully solved using AI algorithms.
Specifically, the use of AI techniques in setting up or building precision medicine is significant in terms of the accuracy of
disease discovery and tailored treatment. Moreover, with the use of technology, clinical personnel can deliver a very much
efficient healthcare service.
Objective:
This article reviews AI state-of-the-art in cardiovascular disease management, focusing on diagnostic and
therapeutic improvements.
Methods:
To that end, we conducted a detailed PubMed search on AI application from distinct areas of cardiology: heart
failure, arterial hypertension, atrial fibrillation, syncope and cardiovascular rehabilitation. Particularly, to assess the impact
of these technologies in clinical decision-making, this research considers technical and medical aspects.
Results:
On one hand, some devices in heart failure, atrial fibrillation and cardiac rehabilitation represent an inexpensive,
not invasive or not very invasive approach to long-term surveillance and management in these areas. On the other hand, the
availability of large datasets (big data) is a useful tool to predict the development and outcome of many cardiovascular
diseases. In summary, with this new guided therapy, the physician can supply prompt, individualised, and tailored treatment
and the patients feel safe as they are continuously monitored, with a significant psychological effect.
Conclusion:
Soon, tailored patient care via telemonitoring can improve the clinical practice because AI-based systems
support cardiologists in daily medical activities, improving disease detection and treatment. However, the physician-patient
relationship remains a pivotal step.
SS-SWT and SI-CNN: An Atrial Fibrillation Detection Framework for Time-Frequency ECG Signal
