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Digital respiratory acoustic biomarkers for scalable detection and monitoring of pulmonary congestion in heart failure

9 May 2026 (08:00 - 12:45)
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Congress Presentation Part of: Artificial intelligence in heart failure: detection, phenotyping, and monitoring Biomarkers Delegates Premium Access Heart Failure 2026 Heart Failure Association (HFA)

About the speaker

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Doctor Dee Kotak

London Bridge Hospital, London (United Kingdom of Great Britain & Northern Ireland)

5 More presentations in this session

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Artificial intelligence enhanced ECG as a gatekeeper for advanced cardiac imaging in heart failure: a real-world validation study
Doctor E. Figueiredo (Porto, PT)
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Evaluating artificial intelligence-based cardiovascular magnetic resonance segmentation methods: Comparability to manual segmentation and impact on effect size and sample size in the TRED-HF trial
Doctor A. Laila (Bandung, ID)
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Artificial intelligence based characterization of multi-organ ultrasound congestion across the heart failure spectrum
Doctor L. Del Punta (Pisa, IT)
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Phenotype specific performance of an artificial intelligence enhanced ECG model for detecting left ventricular systolic dysfunction across the heart failure spectrum.
Doctor E. Figueiredo (Porto, PT)
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Structural heart disease detection using reconstructed compact electrocardiograms in the outpatient setting
Mr T. Paquaij (Utrecht, NL)
Abstract Slides

Access the full session

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Artificial intelligence in heart failure: detection, phenotyping, and monitoring

The Event

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Heart Failure 2026

9 May - 12 May 2026
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novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources