AI-driven voice analysis for early fluid overload detection in heart failure: preliminary results from the DHZC cohort of the VAMP-HF study

29 August 2025 (16:15 - 17:00)

Organised by:

Video

Sign in for access options

Abstract

Slides

About the speaker

Doctor Leonhard Riehle

Noah Labs, Berlin (Germany)

6 More presentations in this session

Presentation thumbnail

Predicting postoperative atrial fibrillation after cardiac surgery using machine learning

Doctor I. Kim (Seoul, KR)

Abstract Slides Video

Presentation thumbnail

Machine learning modelling to predict heart failure readmission following emergency department presentation: a systems integration opportunity

Doctor V. Goel (Melbourne, AU)

Abstract Slides Video

Presentation thumbnail

Detection of heart failure with an artificial intelligence-enabled stethoscope in primary care: a multicentre prospective external validation study

Doctor M. Kelshiker (London, GB)

Abstract Slides Video

Presentation thumbnail

Explainable machine learning models to improve prediction of incident stroke in atrial fibrillation patients using health records, medical imaging and ECG derived metrics

Mr R. Cavarra (London, GB)

Abstract Slides Video

Presentation thumbnail

Machine-learning informed subtypes of heart failure and their palliative care trajectories: a population-based cohort study

Professor A. Banerjee (London, GB)

Abstract Slides Video

Access the full session

Session thumbnail

Artificial intelligence in action: implications for atrial fibrillation and heart failure

The Event

Event poster

ESC Congress 2025

29 August 2025 16:15 CET

You may be interested in

Congress Presentation

TIM-HF3: voice-based prediction of HF hospitalization

Congress Presentation

Speech analysis to detect acute decompensated heart failure

Congress Presentation

Noah labs vox - voice-based remote monitoring for chronic heart failure

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources