2025-09-27 15:00
publication
2025-09-27 15:00
A diagnostic tool based on artificial intelligence improving the work of radiologists was created at the AGH University of Science and Technology in Krakow. Supports doctors in the analysis of images, including from computed tomography and magnetic resonance imaging, shortening the diagnosis time and increasing its precision.
Project manager prof. Zbisław Tabor from the Department of Biocybernetics and Biomedical Engineering AGH announced on Monday that the system based on artificial intelligence algorithms was tested for nearly half a year at the University Hospital in Krakow. He has the task Support specialists in the analysis of medical images, reduce the risk of overlooking pathological changes and significantly accelerate the diagnostic process.
The technology developed at AGH is the core of the Raygenic Rayspad system – an advanced diagnostic browser with computer -based power steering.
The platform was tested in clinical conditions, where as part of the pilot, doctors described nearly a hundred imaging tests, such as magnetic resonance imaging and computers tomography. AI algorithms made automatic segmentation, detection of lesions and precise measurements – these results were then combined with an analysis made by doctors.
According to scientists, the most important functionalities of the diagnostic platformandDiological is the AI algorithms built into the tool, which is used to generate a number of key data for diagnosis. These include:
- Automatic segmentation of organs,
- detection of anomalies,
- Precise dimensioning of detected changes.
“Our goal was to create a tool that will realistically support doctors in their daily work. Thanks to the integration of modern AI methods with clinical knowledge, we can provide radiologists with better working conditions and a system that contributes to faster and more accurate diagnosis of patients” – pointed out prof. Zbisław Tabor, quoted in the university press release.
Prof. Rafał Obuchowicz, a specialist in a radiologist, participating in a pilot at the University Hospital in Krakow, said that as part of the tests, the tool allowed doctors to detect pathological changes.
It's like having an additional, extremely attentive assistant who analyzes each photo and no detail. The implementation of a fully functional system will probably still require engineers' work, while in a nearby perspective this type of solution may be a great support for us, doctors – said the doctor.
According to the creators of the system, one of the key advantages of the solution is its independence from equipment and location. Thanks to the cloud solution, doctors can analyze images from various devices, in various facilities, without the need for data synchronization. The application interface provides a unified presentation of results, which eliminates errors resulting from differences in the standards of individual systems.
The team from AGH announces further development work, including the extension of the system's functionality.
“We are convinced that the future of medicine is a man's cooperation with technology. Our tool is proof that science can directly support doctors – effectively, safely and safely and with a real impact on patients' health,” summed up prof. Joanna Jaworek-Korjakowska, director of the Center for Artificial Intelligence Perfection, AGH in Krakow.
The previous works were carried out by an interdisciplinary team under the direction of prof. Zbisława Tabor, a specialist in the field of analysis of medical paintings, prof. Joanna Jaworek-Korjakowska, managing the center of artificial intelligence perfection and the issues of artificial intelligence and prof. Bartosz Zieliński from the Faculty of Mathematics and Computer Science of the Jagiellonian University, dealing with explaining artificial intelligence. (PAP)
RGR/ AGT/
