Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond.
Artificial intelligence
big data
data analysis
devices
heart failure
patient monitoring
personalised medicine
telemedicine
Journal
Cardiac failure review
ISSN: 2057-7540
Titre abrégé: Card Fail Rev
Pays: England
ID NLM: 101696210
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
received:
19
11
2019
accepted:
12
03
2020
entrez:
3
7
2020
pubmed:
3
7
2020
medline:
3
7
2020
Statut:
epublish
Résumé
New technologies have been recently introduced to improve the monitoring of patients with chronic syndromes such as heart failure. Devices can now be employed to gather large amounts of data and data processing through artificial intelligence techniques may improve heart failure management and reduce costs. The analysis of large datasets using an artificial intelligence technique is leading to a paradigm shift in the era of precision medicine. However, the assessment of clinical safety and the evaluation of the potential benefits is still a matter of debate. In this article, the authors aim to focus on the development of these new tools and to draw the attention to their transition in daily clinical practice.
Identifiants
pubmed: 32612852
doi: 10.15420/cfr.2019.17
pmc: PMC7312813
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
e16Informations de copyright
Copyright © 2020, Radcliffe Cardiology.
Déclaration de conflit d'intérêts
Disclosure: The authors have no conflicts of interest to declare.
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