Artificial intelligence for the vasculome

Luis Juarez Orozco; Ming Wai Yeung; Jan-Walter Benjamins; Fatemeh Kazemzadeh; Goncalo Hora de Carvalho; Pim van der Harst

doi:10.1016/B978-0-12-822546-2.00033-2

Artificial intelligence for the vasculome

Luis Juarez Orozco, Ming Wai Yeung, Jan-Walter Benjamins, Fatemeh Kazemzadeh, Goncalo Hora de Carvalho, Pim van der Harst

Cardiovasculair Centrum

Onderzoeksoutput › Academic

1 Citaat (Scopus)

113 Downloads (Pure)

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The present chapter explores the new basic principle based concept of the vasculome from the perspective of the possibilities posed by modern AI implementations for its study and integration. First, we provide a theoretical overview regarding machine learning based AI, then we summarize research and clinical implementations in the field of vascular medicine at different levels of specialization, and finally, we discuss how knowledge emerging from these applications could support the adoption and integral study of the vasculome and its
pathological states.

Originele taal-2	English
Titel	The Vasculome
Subtitel	From Many, One
Redacteuren	Zorina S. Galis
Plaats van productie	San Diego
Uitgeverij	Academic Press
Hoofdstuk	19
Pagina's	229-236
Aantal pagina's	8
Uitgave	1
ISBN van elektronische versie	9780128225479
ISBN van geprinte versie	9780128225462
DOI's	https://doi.org/10.1016/B978-0-12-822546-2.00033-2
Status	Published - 11-jun.-2022

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Artificial intelligence for the vasculome

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