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Article

Automated Pattern Recognition in Whole-Cardiac Cycle Echocardiographic Data: Capturing Functional Phenotypes with Machine Learning.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography - 1 Nov 2021

Loncaric Filip, Marti Castellote Pablo-Miki, Sanchez-Martinez Sergio, Fabijanovic Dora, Nunno Loredana, Mimbrero Maria, Sanchis Laura, Doltra Adelina, Montserrat Silvia, Cikes Maja, Crispi Fatima, Piella Gema, Sitges Marta, Bijnens Bart

Abstract excerpt

BACKGROUND: Echocardiography provides complex data on cardiac function that can be integrated into patterns of dysfunction related to the severity of cardiac disease. The aim of this study was to demonstrate the feasibility of applying machine learning (ML) to automate the integration of echocardiographic data from the whole cardiac cycle and to automatically recognize patterns in velocity profiles and...

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Identifiers

PMID: 34245826
DOI: 10.1016/j.echo.2021.06.014

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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