Publications by authors named "Libor Pastika"

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Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach.
Mehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Boroumand Zeidaabadi

NPJ Digit Med· December 2025

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The cost of explainability in artificial intelligence-enhanced electrocardiogram models.
Konstantinos Patlatzoglou, Libor Pastika, Joseph Barker, Ewa Sieliwonczyk, Gul Rukh Khattak

NPJ Digit Med· December 2025

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Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study.
Yixiu Liang, Arunashis Sau, Boroumand Zeidaabadi, Joseph Barker, Konstantinos Patlatzoglou, Libor Pastika

Eur Heart J· November 2025

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Artificial Intelligence-Enhanced Electrocardiography for Complete Heart Block Risk Stratification.
Arunashis Sau, Henry Zhang, Joseph Barker, Libor Pastika, Konstantinos Patlatzoglou

JAMA Cardiol· November 2025

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The spatial ventricular gradient is a non-invasive, vectorcardiographic correlate of cardiac fibrosis.
Hans F Stabenau, Jason D Matos, Daniel B Kramer, Arunashis Sau, Libor Pastika

J Interv Card Electrophysiol· October 2025

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Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram.
Ewa Sieliwonczyk, Arunashis Sau, Konstantinos Patlatzoglou, Kathryn A McGurk, Libor Pastika

Genome Med· October 2025

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Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation.
Boroumand Zeidaabadi, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Gul Rukh Khattak

Heart Rhythm· October 2025

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Prediction of incident atrial fibrillation: A comprehensive evaluation of conventional and artificial intelligence-enhanced approaches.
Arunashis Sau, Ewa Sieliwonczyk, Joseph Barker, Boroumand Zeidaabadi, Libor Pastika

Heart Rhythm· August 2025

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Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction.
Mehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, Derek Bivona, Libor Pastika

J Am Heart Assoc· July 2025

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Siamese neural network-enhanced electrocardiography can re-identify anonymized healthcare data.
Krzysztof Macierzanka, Arunashis Sau, Konstantinos Patlatzoglou, Libor Pastika, Ewa Sieliwonczyk

Eur Heart J Digit Health· May 2025

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Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension.
Arunashis Sau, Joseph Barker, Libor Pastika, Ewa Sieliwonczyk, Konstantinos Patlatzoglou

JAMA Cardiol· March 2025

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Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study.
Arunashis Sau, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, Libor Pastika, Kathryn A McGurk

Lancet Digit Health· March 2025

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A comparison of artificial intelligence-enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram images.
Arunashis Sau, Boroumand Zeidaabadi, Konstantinos Patlatzoglou, Libor Pastika, Antônio H Ribeiro

Eur Heart J Digit Health· March 2025

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Smartwatch Locates Myocardial Lesion in Stable Angina.
Boroumand Zeidaabadi, Joseph Barker, Libor Pastika, Nickolaos Pantazopoulos, Raffi Kaprielian

JACC Case Rep· February 2025

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Prognostic Significance and Associations of Neural Network-Derived Electrocardiographic Features.
Arunashis Sau, Antônio H Ribeiro, Kathryn A McGurk, Libor Pastika, Nikesh Bajaj

Circ Cardiovasc Qual Outcomes· December 2024

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Polygenic Prediction of Recurrent Events After Early-Onset Myocardial Infarction.
Maddalena Ardissino, Elvezia Maria Paraboschi, Samuel A Lambert, Lois G Kim, Martin Kelemen, Libor Pastika

Circ Genom Precis Med· December 2024

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Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study.
Arunashis Sau, Libor Pastika, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, Antônio H Ribeiro

Lancet Digit Health· November 2024

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Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease.
Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H Ribeiro

NPJ Digit Med· June 2024

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Machine learning-derived cycle length variability metrics predict spontaneously terminating ventricular tachycardia in implantable cardioverter defibrillator recipients.
Arunashis Sau, Amar Ahmed, Jun Yu Chen, Libor Pastika, Ian Wright

Eur Heart J Digit Health· January 2024

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Atrial fibrillation phenotypes: the route to personalised care?
Arunashis Sau, Libor Pastika, Fu Siong Ng

Heart· November 2023

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