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Artificial intelligence in echocardiography: a position statement from the British Society of Echocardiography

Abstract:
Echocardiography is a foundational imaging modality for assessing cardiac structure and function, with a long history of technological advancement. As artificial intelligence (AI) becomes increasingly embedded across healthcare, its potential to enhance the echocardiography workflow, from image acquisition and analysis to reporting and risk stratification, has expanded rapidly. Research activity in this field has grown substantially, yet clinical adoption remains variable and often limited by practical, technical, and governance challenges. In response, the British Society of Echocardiography has developed this position statement to provide a structured, consensus‑driven evaluation of the opportunities, limitations, and requirements for the safe, equitable, and effective integration of AI into echocardiography services. Although centred on the UK context, the principles outlined may be relevant to other healthcare systems with similar models of echocardiography delivery.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/s44156-026-00124-4

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Radcliffe Department of Medicine
Sub department:
RDM-Strategic
Role:
Author
ORCID:
0000-0001-5189-3513
More by this author
Role:
Author
ORCID:
0000-0001-8517-4621


Publisher:
Springer Science and Business Media LLC
Journal:
Echo research and practice More from this journal
Volume:
13
Issue:
1
Pages:
26
Publication date:
2026-07-19
DOI:
EISSN:
2055-0464
ISSN:
2055-0456


Language:
English
Keywords:
Pubs id:
2446318
Local pid:
pubs:2446318
Source identifiers:
W7169726859
Deposit date:
2026-08-02
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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