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Libor Pastika

Showing results (1-10 of 20) with videos related to

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Heart (British Cardiac Society)|July 24, 2023
Atrial fibrillation phenotypes: the route to personalised care?Arunashis Sau, Libor Pastika, Fu Siong Ng
JACC. Case Reports|February 20, 2025
Smartwatch Locates Myocardial Lesion in Stable AnginaBoroumand Zeidaabadi, Joseph Barker, Libor Pastika, et al.
European Heart Journal. Digital Health|May 21, 2025
Siamese neural network-enhanced electrocardiography can re-identify anonymized healthcare dataKrzysztof Macierzanka, Arunashis Sau, Konstantinos Patlatzoglou, et al.
European Heart Journal. Digital Health|March 20, 2025
A comparison of artificial intelligence-enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram imagesArunashis Sau, Boroumand Zeidaabadi, Konstantinos Patlatzoglou, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|October 9, 2025
The spatial ventricular gradient is a non-invasive, vectorcardiographic correlate of cardiac fibrosisHans F Stabenau, Jason D Matos, Daniel B Kramer, et al.
JAMA Cardiology|January 2, 2025
Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident HypertensionArunashis Sau, Joseph Barker, Libor Pastika, et al.
Heart Rhythm|October 16, 2025
Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillationBoroumand Zeidaabadi, Konstantinos Patlatzoglou, Joseph Barker, et al.
Heart Rhythm|August 24, 2025
Prediction of incident atrial fibrillation: a comprehensive evaluation of conventional and AI-enhanced approachesArunashis Sau, Ewa Sieliwonczyk, Joseph Barker, et al.
NPJ Digital Medicine|December 5, 2025
The cost of explainability in artificial intelligence-enhanced electrocardiogram modelsKonstantinos Patlatzoglou, Libor Pastika, Joseph Barker, et al.
NPJ Digital Medicine|December 4, 2025
Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approachMehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Heart (British Cardiac Society)|July 24, 2023
Atrial fibrillation phenotypes: the route to personalised care?Arunashis Sau, Libor Pastika, Fu Siong Ng
JACC. Case Reports|February 20, 2025
Smartwatch Locates Myocardial Lesion in Stable AnginaBoroumand Zeidaabadi, Joseph Barker, Libor Pastika, et al.
European Heart Journal. Digital Health|May 21, 2025
Siamese neural network-enhanced electrocardiography can re-identify anonymized healthcare dataKrzysztof Macierzanka, Arunashis Sau, Konstantinos Patlatzoglou, et al.
European Heart Journal. Digital Health|March 20, 2025
A comparison of artificial intelligence-enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram imagesArunashis Sau, Boroumand Zeidaabadi, Konstantinos Patlatzoglou, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|October 9, 2025
The spatial ventricular gradient is a non-invasive, vectorcardiographic correlate of cardiac fibrosisHans F Stabenau, Jason D Matos, Daniel B Kramer, et al.
JAMA Cardiology|January 2, 2025
Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident HypertensionArunashis Sau, Joseph Barker, Libor Pastika, et al.
Heart Rhythm|October 16, 2025
Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillationBoroumand Zeidaabadi, Konstantinos Patlatzoglou, Joseph Barker, et al.
Heart Rhythm|August 24, 2025
Prediction of incident atrial fibrillation: a comprehensive evaluation of conventional and AI-enhanced approachesArunashis Sau, Ewa Sieliwonczyk, Joseph Barker, et al.
NPJ Digital Medicine|December 5, 2025
The cost of explainability in artificial intelligence-enhanced electrocardiogram modelsKonstantinos Patlatzoglou, Libor Pastika, Joseph Barker, et al.
NPJ Digital Medicine|December 4, 2025
Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approachMehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, et al.
Pageof 2