Artificial intelligence assisted QT interval measurement in 12-lead-ECGs

Back

EHRA Premium Access

Artificial intelligence assisted QT interval measurement in 12-lead-ECGs

Session: Artificial intelligence and arrhythmias (2)

Topic: Artificial Intelligence

Speaker: Associate Professor Y. Kim (Gwangju, KR)

Event: EHRA 2025

Congress Presentation

Add to my library

About the speaker

Associate Professor Yoo Ri Kim

Chonnam National University Hospital, Gwangju (Korea (Republic of))

3 presentations

0 follower

5 more presentations in this session

Multi-layer perceptron neural network-based algorithm for automatic external defibrillator

Speaker: Professor N. Yoon (Gwangju, KR)

Access

Abstract

Slides

Deep neural network for atrial fibrillation and atrial tachycardia/atrial flutter classification in insertable cardiac monitor

Speaker: Mr S. Majumder (Minneapolis, US)

Artificial intelligence derived electrocardiographic aging and the risk of new and early onset cardiovascular disease

Speaker: Assistant Professor D. Kim (Seoul, KR)

AI-based ECG analysis outperforms predefined ECG features to predict AF recurrences in patients undergoing AF ablation: Data from the ISOLATION registry

Speaker: Mrs Z. Habibi (Maastricht, NL)

Comparison of artificial intelligence and cardiologists in the interpretation of exercise treadmill tests

Speaker: Associate Professor Y. Kim (Gwangju, KR)

Access the full session

Artificial intelligence and arrhythmias (2)

Speakers: Associate Professor Y. Kim, Professor N. Yoon, Mr S. Majumder, Assistant Professor D. Kim, Mrs Z. Habibi...

Access

About the event

EHRA 2025

30 March - 1 April 2025

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources