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09/22/2025 | News release | Distributed by Public on 09/23/2025 06:39

AI-assisted project to help doctors in diagnostic imaging

In the photo, from the left: B. Zieliński, J. Jaworek-Korjakowska, Z. Tabor. Photograph: Ewa Biśta, AGH University

AI-assisted project to help doctors in diagnostic imaging
22-09-2025
AI

A cutting-edge AI-based diagnostic tool has been developed at AGH University. It supports medical personnel in imaging analysis, such as CT scans and magnetic resonance imaging, reducing the time required for diagnosis and increasing its precision.

The AI-based tool will significantly improve the work of radiologists. Tested for nearly half a year at the University Hospital in Krakow, the system is intended to support specialists in the analysis of medical images, reduce the risk of overlooking pathological changes, and significantly accelerate the diagnostic process.

The technology is the core of the Raygenic Rayspad system, an advanced computer-aided diagnostics browser. The platform was tested in clinical conditions, and the doctors analysed almost 100 medical images such as MRIs and CTs. AI algorithms automatically segmented and detected changes and made precise measurements. The results were then juxtaposed with the analyses performed by the medical personnel.

The most important functionalities of the platform are the built-in AI algorithms generating a variety of data essential for making a diagnosis. These include:

  • automatic organ segmentation - allows quick and precise marking of anatomical structures in images
  • anomaly detection - the built-in AI algorithms independently identify pathological changes, including suspicious tumour foci and post-traumatic changes
  • precise dimensioning of detected changes - the system automatically measures pathological changes, which significantly accelerates and standardises medical descriptions.

"Our goal was to create a tool that will be of real support to doctors in their day-to-day work. Due to the integration of modern AI methods with clinical knowledge, we can provide radiologists with better working conditions and a system that makes the diagnostic process much quicker and more precise," says the project manager, Professor Zdzisław Tabor of the Department of Biocybernetics and Biomedical Engineering at the Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering, AGH University.

Raygenic Rayspad not only supports diagnostics, but also streamlines the daily work of medical personnel.

"During tests, the tool allowed us to detect pathological changes. This is like having an additional, extremely observant assistant that analyses each image and does not miss a thing. The implementation of a fully-functioning system will surely require more engineering work; however, in a near perspective, such solutions may be a substantial support for us, doctors," says Professor Rafał Obuchowicz, a radiologist who participated in the pilot project at the University Hospital in Krakow.

One of the key advantages of the system is its independence from hardware and location. As it is a cloud solution, doctors can analyse images from different devices, in various places, without the need to synchronise data. The application's interface presents results in a uniform way, eliminating mistakes that arise from differences in the standards of individual systems. The inspiration behind the system was the need for real support for doctors in their daily work. As emphasised by the solution's creators, the project is a relevant step toward the digital transformation of medical units. The AGH University team has already announced further development work, including enhancement of the system's functionalities.

"We are convinced that human cooperation with technology is the future of medicine. Our tool shows that science can directly help doctors, effectively, safely, and with an actual impact on patients' health," summarises Professor Joanna Jaworek-Korjakowska, Director of the Centre of Excellence in Artificial Intelligence at AGH University.

The current work was implemented by an interdisciplinary team led by Professor Zdzisław Tabor, a specialist in the field of medical image analysis, Professor Joanna Jaworek-Korjakowska, an AI specialist, and Professor Bartosz Zieliński from the Faculty of Mathematics and Computer Science at Jagiellonian University, who specialises in interpretable AI.

Photograph: Ewa Biśta, AGH University

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AGH University of Science and Technology published this content on September 22, 2025, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on September 23, 2025 at 12:39 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]