Detection of ATTR cardiac amyloidosis using a novel artificial intelligence algorithm for wearable-adapted noisy single-lead electrocardiograms
Event: ESC Congress 2024
Topic: Electrocardiogram (ECG) and Arrhythmia Analysis
Session: Cardiovascular assessment and intervention: from computational modelling to wearable technology
A multilabel deep learning model for the detection of conduction and rhythm disorders from PDF outputs of a widely available portable ECG Device
Event: ESC Congress 2024
Topic: Electrocardiogram (ECG) and Arrhythmia Analysis
Session: Cardiovascular assessment and intervention: from computational modelling to wearable technology
Artificial intelligence applied to electrocardiographic images for scalable screening of cardiac amyloidosis
Event: ESC Congress 2024
Topic: Electrocardiogram (ECG) and Arrhythmia Analysis
Session: Revolutionising cardiac diagnosis: exploring deep learning in electrocardiography and beyond
