Invasive non invasive cardiovascular imaging. Role of machine learning and artificial intelligence

Consulta il libro - Invasive non invasive cardiovascular imaging. Role of machine learning and artificial intelligence

Titolo	Invasive non invasive cardiovascular imaging. Role of machine learning and artificial intelligence
Autori	Giuseppe Biondi Zoccai, Javier Escaned, Chiara Bucciarelli-Ducci, Hector M. Garcia-Garcia
argomento	Medicina Cardiologia Angiografia imaging cardiologico
Editore	Minerva Medica
Formato	Libro
Lingua	inglese
Pagine	168
Pubblicazione	2023
ISBN	9788855322171
	Acquistabile con Carta del docente, Carta Cultura Giovani o Carta della Cultura

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Cardiovascular imaging has faced a momentous development in the last few decades thanks to refinements in imaging technologies, multimodality integration, and focus on different clinical applications ranging from prevention to diagnosis, prognosis, decision making, and follow-up. These developments equally apply to standard non-invasive imaging modalities, including echocardiography, duplex ultrasound, cardiac magnetic resonance, computed tomography, and nuclear cardiology. Most recently, breakthroughs in data science, machine learning and artificial intelligence have been applied to pre and post-processing of imaging data. This synergy between refined cardiovascular imaging methods and novel computing approaches holds the promise of enhanced diagnostic and prognostic accuracy, as well as improved clinical decision making with an ever increasing focus on individualized cardiovascular care.