Jul 2026· Echo Research and Practice· Vol 13· 1 citation· 86 references
Medicine
TL;DR
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.
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.
This review evaluates current evidence, identifies existing gaps, and outlines the requirements for responsible clinical implementation of AI in echocardiography.
R. Heo, Seung-Ah Lee, Hyuk-Jae Chang· Journal of Cardiovascular Im...· 0 citations
Artificial intelligence (AI)-enabled echocardiography has demonstrated strong agreement with expert measurements across a broad range of cardiac functional parameters. However, the transition from technical validation to clinical impact remains incomplete. This structured narrative review employed a systematic literatu...
F. Aydın· Türk Kardiyoloji Derneği a...· 0 citations
Artificial intelligence (AI) is increasingly used in echocardiography and point-of-care ultrasound (POCUS) to support image acquisition, view recognition, image-quality assessment, segmentation, automated quantification, disease classification, reporting, and bedside decision support. This narrative review summarizes c...
F. Savorgnan, Pranathi Pilla, Sarah Visokay et al.· Current Pediatrics Reports· 0 citations
Background Contemporary guideline-based assessment of left ventricular diastolic function and filling pressure requires multiple echocardiographic parameters that may not be routinely acquired in real-world clinical practice. Objectives The aim of the study was to compare the prognostic and diagnostic performance of a...
M. Tokodi, N. Kagiyama, Ambarish Pandey et al.· JACC: Advances· 0 citations
Artificial intelligence (AI) is increasingly being applied in healthcare, including cardiology, with growing interest in its potential to support diagnosis, prognosis, and clinical decision-making. The rapid pace of technological advancements is not matched by equivalent progress in the regulation and appraisal of th...
Łukasz Kołtowski, M. Basza, M. Soliński et al.· European Heart Journal - Dig...· 0 citations
Early diagnosis of acute coronary syndromes (ACS) remains challenging because electrical, mechanical, and biochemical manifestations of myocardial ischemia evolve at different stages of the ischemic cascade. Although electrocardiography (ECG), cardiac biomarkers, and echocardiography are routinely used in clinical prac...
P. Mitrović, D. Rajic, Nemanja Djordjevic· Echocardiography· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.