Generic placeholder image

Current Medicinal Chemistry


ISSN (Print): 0929-8673
ISSN (Online): 1875-533X

Review Article

Artificial Intelligence as a Business Partner in Cardiovascular Precision Medicine: An Emerging Approach for Disease Detection and Treatment Optimization

Author(s): Valeria Visco, Germano Junior Ferruzzi, Federico Nicastro, Nicola Virtuoso, Albino Carrizzo, Gennaro Galasso, Carmine Vecchione and Michele Ciccarelli*

Volume 28 , Issue 32 , 2021

Published on: 18 December, 2020

Page: [6569 - 6590] Pages: 22

DOI: 10.2174/0929867328666201218122633

Price: $65


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 step.

Keywords: Artificial intelligence in medicine, patient monitoring, treatment personalization, precision medicine, CardioMEMS, big data, machine learning, neural network.

Rights & Permissions Print Export Cite as
© 2022 Bentham Science Publishers | Privacy Policy