AdvanceMed focuses on current trends in healthcare, particularly the use of artificial intelligence, virtual reality, robotics, telemedicine, and other advanced technologies.
The faculty played a significant role in the professional programme through the session Modern Trends in Biomedicine. The Dean of the Faculty, Radek Martinek, delivered a lecture highlighting the crucial role of high-quality data for the proper functioning of artificial intelligence. He was followed by Ivan Zelinka, who addressed scenarios of cyberattacks on healthcare facilities and their impacts. Radana Vilímková Kahánková presented research on the use of artificial intelligence in obstetrics within the PROTEKT project, which aims to enable more objective evaluation of labour monitoring records using digital biomarkers. Dominik Vilímek introduced the potential of quantitative magnetic resonance imaging (MRI) in the phenotyping of multiple sclerosis.
Additional contributions were presented in the Free Communications session. Pavol Partila focused on non-invasive detection of obstructive sleep apnea from speech, while Radovan Hájovský presented applications of IoT technologies in healthcare.
In addition to the conference sessions, the faculty was also visible in the exhibition area. The IoT team from the Department of Cybernetics and Biomedical Engineering showcased results of their collaboration with University Hospital Ostrava. These included wireless monitoring systems for measuring CO₂ levels in operating rooms and O₂ levels in intensive care units, as well as applications of 3D printing in educational projects and preoperative planning, and the use of virtual reality in surgical preparation.
At the Signal Lab stand, visitors could explore a fetal ECG generator used for testing maternal and fetal health, a wearable belt for fetal ECG monitoring, and a 3D-printed demonstration model of magnetic resonance imaging used to prepare pediatric patients for examinations. A monitoring bed for newborns designed for MRI examinations was also presented, enabling monitoring of cardiac activity, respiration, and movement.