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Machine learning-based heart sound and electrocardiogram analysis for detecting left ventricular dysfunction: a systematic review and diagnostic meta-analysis

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Evolving approaches to diagnosing heart failure Diagnostic Methods ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Miss Maria Clara Ramos Miranda

(Brazil)

5 More presentations in this session

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National early warning score and clinical early warning score predict 1-year all-cause mortality among patients with acute heart failure
Doctor N. Olsen El Caidi (Hvidovre, DK)
Abstract Slides Video
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Non-invasive diagnosis of heart failure with preserved ejection fraction with left atrioventricular coupling index
Ms C. Janssen Telders (Amsterdam, NL)
Abstract Slides Video
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Unraveling the choline pathway in heart failure risk and outcomes: a systematic review and meta-analysis
Mr A. Shokravi (Calgary, CA)
Abstract Slides Video
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Pentraxin-3 as a novel biomarker to monitor disease progress and treatment response in patients with heart failure
Miss L. Cao (Leicester, GB)
Abstract Slides Video
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Coronary angiography versus coronary computed tomography angiography for coronary artery evaluation in patients with heart failure
Doctor B. Huang (Chongqing, CN)
Abstract Slides Video

Access the full session

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Evolving approaches to diagnosing heart failure

The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources