Poziv na predavanje: MEDIcal TRAINing and planning through Extended Reality

Odjel za računarstvo Hrvatske sekcije IEEE poziva Vas na predavanje: 

MEDIcal TRAINing and planning through Extended Reality

koje će održati prof. dr. sc. Irena Galić, Zavod za programsko inženjerstvo i IG03 - Istraživačka grupa za računarstvo i interakciju čovjeka i računala, Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek u utorak 4. veljače 2025. u 12 sati, K3-1, Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek, Cara Hadrijana 10b, Osijek. Sažetak predavanja nalazi se u nastavku obavijesti.

MEDIcal TRAINing and planning through Extended Reality

prof. dr. sc. Irena Galić, Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
https://www.ferit.unios.hr/istrazivacke-grupe/IG03/opcenito

Abstract: The use of extended reality (XR) in medical education and surgical procedure planning brings significant changes to medical practice. Advanced XR systems enable the creation of interactive and realistic simulations, facilitating preparation for complex surgeries and providing additional information during the procedures themselves. Despite rapid technological development, challenges remain related to data availability, generation of synthetic cases, and standardization of education. This project focuses on developing new methods and systems to
enhance medical education and surgical planning for specific conditions and procedures. The goal is to develop innovative methods for education, simulation, and analysis of medical images using machine learning algorithms that will (1) increase doctors' experience regarding placenta accreta and the importance of its examination during pregnancy, thereby reducing the rate of missed cases of placenta accreta detection during ultrasound examination, and (2) increase the ease of execution and quality of cerebrovascular procedures by creating detailed and realistic VR/XR simulations of specific neurosurgical procedures. The planned systems stand out for their innovative methods in medical image synthesis. For ultrasound examination simulation, methods will be developed to synthesize realistic ultrasound images from magnetic resonance images using a combination of traditional and modern techniques. During the simulation of cerebrovascular surgical procedures, a generative artificial intelligence method will create new, realistic, and challenging cases based on given medical parameters. The project will result in a series of open-source software libraries containing all the methods developed. The methods for synthetic generation of medical images will enable the creation of diverse educational cases, while VR/XR simulations will provide medical professionals the opportunity to improve their skills in a safe environment.