Application of machine learning to predict timing of ventricular tachycardia onset

21 November 2025 (08:30 - 18:00)

Organised by:

Abstract

Sign in to view the resources

Slides

About the speaker

Mr Avdhesh Mann

IIT Mandi, Himachal Pradesh (India)

35 More presentations in this session

Presentation thumbnail

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

Mr N. Ahmed (Oxford, GB)

Abstract Slides

Presentation thumbnail

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)

Abstract Slides

Presentation thumbnail

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

Mr N. Jabareen (Berlin, DE)

Abstract Slides

Presentation thumbnail

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

Mr R. Mushunuri (Trondheim, NO)

Abstract Slides

Presentation thumbnail

Enhancing stability in cardiac risk stratification with equivariant neural fields

Mr S. Ruiperez-Campillo (Zurich, CH)

Abstract Slides

Access the full session

Session thumbnail

Poster session (1)

The Event

Event poster

ESC Digital & AI Summit 2025

21 November 2025 08:30 CET

You may be interested in

Congress Session

Evolutions in arrythmia and syncope management

Congress Session

Artificial intelligence in heart failure research and clinical practice

Congress Presentation

Digital health and artificial intelligence in cardiology

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources