Support for the diagnosis of ultrasound examinations using artificial intelligence (5 min)
Interpretation of USG data is very subjective with approximately 60% agreement between the specialists. Our aim is to implement AI based methods that will improve the reliability of USG interpretation and to aid in the education of the young doctors. For this purpose, we have created a labeled dataset of chest USG videos, focused on detection of A- and B-lines, lung sliding and lung point.
Sign in to ITAPA AI 2025
Marek Bundzel
Faculty of Electrical Engineering and Informatics Technical University of Košice
Associate professor Marek Bundzel, PhD. is active at Technical University in Košice, Slovakia, Department of Cybernetics and Artificial Intelligence. He has conducted research at several research institutions abroad for example Danish Hydroinformatics Institute, University of Pavia, Italy or Czech Technical University, Prague. He spent two years…
