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

Session: Developing and evaluating AI-models in ECG analysis
Topic: Electrocardiogram (ECG) and Arrhythmia Analysis
Speaker: Mr S. Ruiperez-Campillo (Zurich, CH)
Event: ESC Digital & AI Summit 2025

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Mr Samuel Ruiperez-Campillo

Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich (Switzerland)
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5 more presentations in this session

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

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

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

Speaker: Doctor S. Upadhyayula (Bangalore, IN)

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

Speaker: Mr T. Van Den Broek (Leiden, NL)

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

Speaker: Doctor E. Figueiredo (Porto, PT)

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

Speaker: Doctor H. Kamalanathan (Sydney, AU)

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Access the full session

Developing and evaluating AI-models in ECG analysis

Speakers: Mr S. Ruiperez-Campillo, Associate Professor Y. Kim, Doctor S. Upadhyayula, Mr T. Van Den Broek, Doctor E. Figueiredo...
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About the event

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ESC Digital & AI Summit 2025

21 November - 22 November 2025

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