12/05/2025
๐ง๐๐ฟ๐ป๐ถ๐ป๐ด ๐ฟ๐ฒ๐ฎ๐น-๐๐ผ๐ฟ๐น๐ฑ ๐ฑ๐ฎ๐๐ฎ ๐ถ๐ป๐๐ผ ๐น๐ถ๐ณ๐ฒ-๐๐ฎ๐๐ถ๐ป๐ด ๐ถ๐ป๐๐ถ๐ด๐ต๐๐.
At the ERA Symposium, Dr. Martin Holler, Professor at Idea_Lab, University of Graz, demonstrated how machine learning and large-scale data collection can improve emergency care for cardiac arrest patients.
His session, โHow Large-Scale Data Collection and Machine Learning Shape Quality Management in Emergency Care,โ highlights how defibrillator and physiological data are being used to detect chest compressions, predict circulatory states, and evaluate treatment performance, all independent of proprietary software.
๐ฅ Watch the full discussion on YouTube: https://youtu.be/qOIgZnnYJnI
At the ERA Symposium 2025, Dr. Martin Holler, Professor at Idea_Lab, University of Graz, presents innovative research on using large-scale real-world data an...