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

Cardiovascular Centre (CVC)

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

1 Citation (Scopus)

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Abstract

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.

Original language	English
Title of host publication	The Vasculome
Subtitle of host publication	From Many, One
Editors	Zorina S. Galis
Place of Publication	San Diego
Publisher	Academic Press
Chapter	19
Pages	229-236
Number of pages	8
Edition	1
ISBN (Electronic)	9780128225479
ISBN (Print)	9780128225462
DOIs	https://doi.org/10.1016/B978-0-12-822546-2.00033-2
Publication status	Published - 11-Jun-2022

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Artificial intelligence for the vasculomeFinal publisher's version, 952 KBLicence: Taverne

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Artificial intelligence for the vasculome

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