Artificial intelligence in cardiology: fundamentals and applications.
artificial intelligence
cardiology
electrophysiology
interventional cardiology
machine learning
neural network
Journal
Internal medicine journal
ISSN: 1445-5994
Titre abrégé: Intern Med J
Pays: Australia
ID NLM: 101092952
Informations de publication
Date de publication:
06 2022
06 2022
Historique:
revised:
13
09
2021
received:
03
08
2021
accepted:
25
09
2021
pubmed:
7
10
2021
medline:
22
6
2022
entrez:
6
10
2021
Statut:
ppublish
Résumé
Artificial intelligence (AI) is an overarching term that encompasses a set of computational approaches that are trained through generalised learning to autonomously execute specific tasks. AI is a rapidly expanding field in medicine. In particular cardiology, with its high reliance on numerical patient data in decision making, has great potential to benefit from AI. Types of AI, including neural networks and computer vision, can dramatically change the day-to-day workflow of cardiologists, primarily through integration in diagnostic imaging modalities, periprocedural planning, electronic health record analysis and patient monitoring. Healthcare systems will undoubtedly become more automated and shift to more AI-driven methods to improve efficiency and reduce cost. Patients in the end will benefit from these changes with improved diagnostic accuracy, better tailored treatments resulting in a greater quality and quantity of life. In this article, we will describe some of the fundamental principles underlying AI that physicians should have an understanding of, along with current clinical applications.
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
912-920Informations de copyright
© 2021 Royal Australasian College of Physicians.
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