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

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

Organised by:

Sign in to view the resources

Sign in to view the resources

About the speaker

Associate Professor Yoo Ri Kim

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

5 More presentations in this session

Presentation thumbnail

PulseFormer: curriculum learning guided bimodal co-attention and graph-augmented hierarchical ECG strip classification

Doctor S. Upadhyayula (Bangalore, IN)

Abstract Slides

Presentation thumbnail

Incorporating respiratory dynamics into context-aware QTc assessment using a wearable sensor

Mr T. Van Den Broek (Leiden, NL)

Abstract Slides

Presentation thumbnail

External validation of the PMcardio AI-ECG model for detecting occlusion myocardial infarction in a portuguese cohort

Doctor E. Figueiredo (Porto, PT)

Abstract Slides

Presentation thumbnail

How well do large language models interpret ECGs? A comparative benchmark of chatGPT - 4o, claude, and gemini using standardised teaching cases

Doctor H. Kamalanathan (Sydney, AU)

Abstract Slides

Presentation thumbnail

Deep learning-enabled ECG fingerprinting of low-voltage substrate in atrial fibrillation patients

Mr S. Ruiperez-Campillo (Zurich, CH)

Abstract Slides

Access the full session

Session thumbnail

Developing and evaluating AI-models in ECG analysis

The Event

Event poster

ESC Digital & AI Summit 2025

21 November - 22 November 2025

You may be interested in

Congress Presentation

Digital 12-lead ECG: what is hidden behind the clinical report

Congress Session

Why signal quality matters? The importance of ECG and intracardiac signal quality to empower emerging AI technologies

Congress Session

Evolutions in arrythmia and syncope management

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources