New Research Published: Advancing AI-Based Detection of Ventricular Late Potentials from Standard ECG Signals
We are proud to celebrate the publication of the scientific paper "Feasibility of single-beat detection of ventricular late potentials on standard ECG leads via interpretable gradient boosting."
Among the many co-authors are Bautista Penayo, a student at Zagreb School of Economics and Management (ZSEM), and Andrej Novak, a lecturer at Luxembourg School of Business (LSB). Their contribution highlights the value of collaboration between EUonAIR partner institutions while showcasing the research excellence and scientific engagement of our students.
This achievement reflects one of the core ambitions of the EUonAIR Alliance: creating an environment where students, researchers, and educators collaborate across disciplines and institutions to develop innovative solutions with real-world impact. By encouraging international cooperation and research-driven education, EUonAIR empowers the next generation of talent to contribute to scientific progress and technological innovation.
Congratulations to all the authors on this remarkable achievement!
