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 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