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Št. zadetkov: 4
Complexities of treating co-morbidities in heart failurewith preserved ejection fraction
Tadej Žlahtič, Miha Mrak, David Žižek
Kratki znanstveni prispevek
Oznake: atrial fibrillation;heart failure;heart rate;sodium-glucose transporter 2 inhibitors;
Atrial fibrillation and heart failure with preserved ejection fraction (HFpEF) are frequent concomitant diseases sharing several pathophysiological mechanisms leading to structural remodelling of both atria and ventricles. We present a case of an HFpEF patient with rapid atrial fibrillation who rema ...
Leto: 2024 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Conduction system pacing vs. biventricular pacing for cardiac resynchronization
David Žižek, Tadej Žlahtič, Miha Mrak, Maja Ivanovski, Jernej Štublar, Dinko Zavrl-Džananović, Jakob Peterlin, Marta Cvijić, Anja Zupan
Izvirni znanstveni članek
Oznake: stimulacija prevodnega sistema;resinhronizacijsko zdravljenje;lovokračni blok;cardiac resynchronization therapy;biventricular pacing;left bundle branch area pacing;left bundle branch block;conduction system pacing;
Aims: There are limited prospective randomized studies comparing left bundle branch area pacing (LBBAP) and biventricular (BiV) pacing for cardiac resynchronization therapy (CRT). The study tested whether LBBAP is non-inferior to BiV pacing in patients with Class I indication for CRT. Methods and re ...
Leto: 2025 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Symbiosis in health
Peter Kokol, Bojan Žlahtič, Helena Blažun, Jernej Završnik, Tadej Završnik
Izvirni znanstveni članek
Oznake: umetna inteligenca;sprejemanje odločitev;medicinski podatki;propensity score matching;artificial intelligence;real world decision making;synthetic thematic analysis;research landscapes;
The rapid expansion of real-world medical data is driving a transformative shift toward integrating artificial intelligence (AI) with propensity score matching (PSM) to enhance clinical research. While AI provides advanced capabilities in diagnostics and prediction, PSM serves as a critical statisti ...
Leto: 2026 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Agile Machine Learning Model Development Using Data Canyons in Medicine: A Step towards Explainable Artificial Intelligence and Flexible Expert-Based Model Improvement
Bojan Žlahtič, Jernej Završnik, Helena Blažun, Peter Kokol, David Šuran, Tadej Završnik
Izvirni znanstveni članek
Oznake: umetna inteligenca;podatki;strojno učenje;ne zaključna dela;XAI;explainable artificial intelligence;data canyons;machine learning;transparency;agile development;white-box model;
Over the past few decades, machine learning has emerged as a valuable tool in the field of medicine, driven by the accumulation of vast amounts of medical data and the imperative to harness this data for the betterment of humanity. However, many of the prevailing machine learning algorithms in use t ...
Leto: 2023 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 4
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