Incremental value of wearable heart rate data for tree-based mortality prediction in heart failure patients with tricuspid regurgitation

21 November 2025 (08:00 - 18:00)

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About the speaker

Doctor Valentine Ojonugwa Idakwo

Ludwig Maximilians University, Munich (Germany)

35 More presentations in this session

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Development and validation of a parsimonious AI-based risk score for mortality in heart failure: a UK cohort study

Mr N. Ahmed (Oxford, GB)

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Comparison of a novel scientific model of the memetic pattern based (MPA v3) and the ESC 2024 RF-CL algorithm for the detection of coronary artery disease: a retrospective multicentre study

Mr A. Buesser (CH)

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Learning to scale: deriving data-driven scaling laws for ECG-optimized CNNs

Mr N. Jabareen (Berlin, DE)

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Application of machine learning to predict timing of ventricular tachycardia onset

Mr A. Mann (Himachal Pradesh, IN)

Abstract Slides

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Real-time detection of return of spontaneous circulation during cardiopulmonary resuscitation using AI and carotid Doppler ultrasound

Mr R. Mushunuri (Trondheim, NO)

Abstract Slides

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The Event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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