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Editorial: Translating artificial intelligence into clinical use within cardiology

Abstract:: EDITORIAL article Front. Cardiovasc. Med., 04 August 2022Sec. Cardiovascular Biologics and Regenerative Medicine https://doi.org/10.3389/fcvm.2022.995234.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Leeson, P., Nanayakkara, S., & Lamata, P. (2022). Editorial: Translating artificial intelligence into clinical use within cardiology. Frontiers in Cardiovascular Medicine, 9, 995234–995234.

MLA Style

Leeson, P, et al. “Editorial: Translating Artificial Intelligence into Clinical Use within Cardiology.” Frontiers in Cardiovascular Medicine, vol. 9, 2022, pp. 995234–34.

Chicago Style

Leeson, P, S Nanayakkara, and P Lamata. 2022. “Editorial: Translating Artificial Intelligence into Clinical Use within Cardiology.” Frontiers in Cardiovascular Medicine 9: 995234–34.
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Files:: Leeson_et_al_2022_Editorial_Translating_artificial.pdf

(Preview, Version of record, pdf, 103.8KB, Terms of use)

Publisher copy:: 10.3389/fcvm.2022.995234

Authors

+ Leeson, P More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0001-9181-9297

+ Nanayakkara, S More by this author

Role:: Author
ORCID:: 0000-0002-0146-6588

+ Lamata, P More by this author

Role:: Author
ORCID:: 0000-0002-3097-4928

Publisher:: Frontiers Media
Journal:: Frontiers in Cardiovascular Medicine More from this journal
Volume:: 9
Pages:: 995234-995234
Article number:: 995234
Publication date:: 2022-08-04
DOI:: 10.3389/fcvm.2022.995234
EISSN:: 2297-055X
ISSN:: 2297-055X

Language:: English
Keywords:: Medical physics

Medicine

Intensive care medicine

Cardiology

Internal medicine
Pubs id:: 1276376
Local pid:: pubs:1276376
Source identifiers:: W4289839541
Deposit date:: 2026-04-28
ARK identifier:: ark:/29072/ora_e9fddbe0fa2f48fa9e208390f91f3382

Terms of use

Copyright date:: 2022

Licence:: CC Attribution (CC BY)

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