Artificial intelligence applied to electrocardiographic images for scalable screening of cardiac amyloidosis

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Artificial intelligence applied to electrocardiographic images for scalable screening of cardiac amyloidosis

Session: Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond

Topic: Electrocardiogram (ECG) and Arrhythmia Analysis

Speaker: Mr V. Sangha (New Haven, US)

Event: ESC Congress 2024

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Mr Veer Sangha

New Haven (United States of America)

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5 more presentations in this session

Unsupervised electrocardiogram feature extraction using deep learning empowers discovery of genetic and phenotypic determinants of cardiac electrophysiology

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Long-term time-to-ventricular arrhythmic event prediction using a deep learning based model on the electrocardiogram signal

Speaker: Doctor J. Ramirez (Zaragoza, ES)

A novel 12-lead standard ECG derived scoring system for risk stratification in the emergency department

Speaker: Doctor F. Theurl (Innsbruck, AT)

121 year after Einthoven: show me the normal ECG?

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Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond

Speakers: Mr V. Sangha, Doctor E. Sieliwonczyk, Associate Professor J. Lee, Doctor J. Ramirez, Doctor F. Theurl...

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ESC Congress 2024

30 August - 2 September 2024

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