📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Role of deep learning methods in screening for subcutaneous implantable cardioverter defibrillator in heart failure. (2023)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/anec.13028

PubMed Identifier: 36524869

Publication URI: http://europepmc.org/abstract/MED/36524869

Type: Journal Article/Review

Volume: 28

Parent Publication: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc

Issue: 1

ISSN: 1082-720X