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Is artificial intelligence the new kid on the block? Sustainable applications in cardiology

Strangio, Antonio; Leo, Isabella; Sabatino, Jolanda; Brida, Margarita; Siracusa, Chiara; Carabetta, Nicole; Zaffino, Paolo; Critelli, Claudia; Laschera, Alessandro; Spadea, Maria Francesca 1; Torella, Daniele; Sabouret, Pierre; De Rosa, Salvatore
1 Institut für Biomedizinische Technik (IBT), Karlsruher Institut für Technologie (KIT)

Abstract:

Artificial intelligence (AI) is changing our clinical practice. This is particularly true in cardiology where the clinician is often required to handle a large amount of clinical, biological, and imaging data during decision making. In this context, AI can address the need for fast and accurate tools while reducing the burden on clinicians and improving the efficiency of healthcare systems. With this inevitable shift towards more automated and efficient systems, patients may benefit from a more accurate diagnosis and more tailored treatment. A multitude of clinical applications have already been made available and implemented in several fields of cardiology. The aim of this narrative review is to provide an overall picture of the most recent evidence in the literature about AI implementations, highlighting their potential impact on clinical practice.


Verlagsausgabe §
DOI: 10.5445/IR/1000171062
Veröffentlicht am 29.05.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 13.03.2024
Sprache Englisch
Identifikator ISSN: 2574-1209
KITopen-ID: 1000171062
Erschienen in Vessel Plus
Verlag OAE Publishing
Band 8
Seiten Art.-Nr.: 12
Schlagwörter Artificial intelligence, machine learning, AI algorithm, personalized medicine
Nachgewiesen in Dimensions
Scopus
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