Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Libor Pastika

Showing results (11-20 of 20) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 20 results.
The Lancet. Digital Health|February 27, 2025
Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort studyArunashis Sau, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, et al.
JAMA Cardiology|August 20, 2025
Artificial Intelligence-Enhanced Electrocardiography for Complete Heart Block Risk StratificationArunashis Sau, Henry Zhang, Joseph Barker, et al.
NPJ Digital Medicine|June 25, 2024
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic diseaseLibor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, et al.
European Heart Journal|July 16, 2025
Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international studyYixiu Liang, Arunashis Sau, Boroumand Zeidaabadi, et al.
Journal of the American Heart Association|June 18, 2025
Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality ReductionMehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, et al.
Genome Medicine|October 10, 2025
Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogramEwa Sieliwonczyk, Arunashis Sau, Konstantinos Patlatzoglou, et al.
European Heart Journal. Digital Health|January 24, 2024
Machine learning-derived cycle length variability metrics predict spontaneously terminating ventricular tachycardia in implantable cardioverter defibrillator recipientsArunashis Sau, Amar Ahmed, Jun Yu Chen, et al.
Circulation. Genomic and Precision Medicine|November 29, 2024
Polygenic Prediction of Recurrent Events After Early-Onset Myocardial InfarctionMaddalena Ardissino, Elvezia Maria Paraboschi, Samuel A Lambert, et al.
The Lancet. Digital Health|October 25, 2024
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation studyArunashis Sau, Libor Pastika, Ewa Sieliwonczyk, et al.
Circulation. Cardiovascular Quality and Outcomes|November 14, 2024
Prognostic Significance and Associations of Neural Network-Derived Electrocardiographic FeaturesArunashis Sau, Antônio H Ribeiro, Kathryn A McGurk, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
The Lancet. Digital Health|February 27, 2025
Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort studyArunashis Sau, Ewa Sieliwonczyk, Konstantinos Patlatzoglou, et al.
JAMA Cardiology|August 20, 2025
Artificial Intelligence-Enhanced Electrocardiography for Complete Heart Block Risk StratificationArunashis Sau, Henry Zhang, Joseph Barker, et al.
NPJ Digital Medicine|June 25, 2024
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic diseaseLibor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, et al.
European Heart Journal|July 16, 2025
Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international studyYixiu Liang, Arunashis Sau, Boroumand Zeidaabadi, et al.
Journal of the American Heart Association|June 18, 2025
Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality ReductionMehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, et al.
Genome Medicine|October 10, 2025
Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogramEwa Sieliwonczyk, Arunashis Sau, Konstantinos Patlatzoglou, et al.
European Heart Journal. Digital Health|January 24, 2024
Machine learning-derived cycle length variability metrics predict spontaneously terminating ventricular tachycardia in implantable cardioverter defibrillator recipientsArunashis Sau, Amar Ahmed, Jun Yu Chen, et al.
Circulation. Genomic and Precision Medicine|November 29, 2024
Polygenic Prediction of Recurrent Events After Early-Onset Myocardial InfarctionMaddalena Ardissino, Elvezia Maria Paraboschi, Samuel A Lambert, et al.
The Lancet. Digital Health|October 25, 2024
Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation studyArunashis Sau, Libor Pastika, Ewa Sieliwonczyk, et al.
Circulation. Cardiovascular Quality and Outcomes|November 14, 2024
Prognostic Significance and Associations of Neural Network-Derived Electrocardiographic FeaturesArunashis Sau, Antônio H Ribeiro, Kathryn A McGurk, et al.
Pageof 2