Phenogrouping Diastolic Dysfunction by Artificial Intelligence: Learning From What We Teach the Machines

Mani A. Vannan; Edgar Argulian; Patrizio Lancellotti

doi:10.1016/j.jcmg.2021.05.018

Phenogrouping Diastolic Dysfunction by Artificial Intelligence: Learning From What We Teach the Machines

Mani A. Vannan
, Edgar Argulian
, Patrizio Lancellotti

Research output: Contribution to journal › Editorial

1 Scopus citations

Original language	English
Pages (from-to)	1901-1903
Number of pages	3
Journal	JACC: Cardiovascular Imaging
Volume	14
Issue number	10
DOIs	https://doi.org/10.1016/j.jcmg.2021.05.018
State	Published - Oct 2021
Externally published	Yes

Keywords

HFpEF
artificial intelligence machine-learning
diastolic dysfunction

Access to Document

10.1016/j.jcmg.2021.05.018

Cite this

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title = "Phenogrouping Diastolic Dysfunction by Artificial Intelligence: Learning From What We Teach the Machines",

keywords = "HFpEF, artificial intelligence machine-learning, diastolic dysfunction",

author = "Vannan, \{Mani A.\} and Edgar Argulian and Patrizio Lancellotti",

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AU - Vannan, Mani A.

AU - Argulian, Edgar

AU - Lancellotti, Patrizio

PY - 2021/10

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KW - HFpEF

KW - artificial intelligence machine-learning

KW - diastolic dysfunction

UR - https://www.scopus.com/pages/publications/85115626405

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DO - 10.1016/j.jcmg.2021.05.018

M3 - Editorial

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SN - 1936-878X

VL - 14

SP - 1901

EP - 1903

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