Benjamin Seirer
Vienna, Austria
Last Updated: 09/26/2026
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Found 9 publications
Validation of an Artificial Intelligence-Derived ECG Algorithm for Detecting Cardiac Amyloidosis in Patients With Heart Failure With Preserved Ejection Fraction: Clinical Application and Prognostic Implications.
Journal: Journal of the American Heart Association
Published: August 20, 2026
Heart failure with preserved ejection fraction: Calculating the risk of future heart failure events and death.
Journal: Frontiers in cardiovascular medicine
Published: April 15, 2022
Machine learning-derived electrocardiographic algorithm for the detection of cardiac amyloidosis.
Journal: Heart (British Cardiac Society)
Published: June 15, 2021
Renin Feedback Is an Independent Predictor of Outcome in HFpEF.
Journal: Journal of personalized medicine
Published: April 03, 2021
What Type of Patients Did PARAGON-HF Select? Insights from a Real-World Prospective Cohort of Patients with Heart Failure and Preserved Ejection Fraction.
Journal: Journal of clinical medicine
Published: October 09, 2020
Prognostic implications of pericardial and pleural effusion in patients with cardiac amyloidosis.
Journal: Clinical research in cardiology : official journal of the German Cardiac Society
Published: April 23, 2020
Machine Learning Enables Prediction of Cardiac Amyloidosis by Routine Laboratory Parameters: A Proof-of-Concept Study.
Journal: Journal of clinical medicine
Published: March 19, 2020
Hemodynamic Profiles and Their Prognostic Relevance in Cardiac Amyloidosis.
Journal: Journal of clinical medicine
Published: March 11, 2020
Patients with Heart Failure and Preserved Ejection Fraction Are at Risk of Gastrointestinal Bleeding.
Journal: Journal of clinical medicine
Published: July 14, 2019
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Last Updated: 09/26/2026