IASON
The IASON research project aims to fundamentally improve the treatment of aneurysms in the brain using innovative AI-supported simulation and analysis tools.
Medical Innovation Through Technology
RISC Software GmbH utilizes AI and simulation to elevate healthcare to a new level. Our technologies improve image processing, assist in diagnostics, and enable the development of personalized treatment approaches. Through AI-powered solutions, we enhance healthcare quality, optimize processes, and promote knowledge transfer for sustainable and safe medicine. Our research in AI and simulation increases patient safety through optimal diagnosis and surgical preparation and saves lives through early detection of emerging complications.
Simulations for Patient-Oriented Medicine
Virtual patient models allow the simulation of individual treatment courses and the early identification of potential risks. These personalized approaches help to increase safety and efficiency in patient care. Simulations also offer the opportunity to test and optimize treatment options before they are applied in practice.
Partnership Between Research and Practice
In collaboration with leading clinics and research institutions, we develop solutions that are scientifically grounded and practically viable. Our technologies have already been successfully deployed in predicting complications, in surgical training platforms, and in image segmentation. The close integration into medical practice ensures that our solutions provide tangible added value.
Shaping Medical Excellence
Learn how our technologies can shape the future of medicine. Contact RISC Software GmbH to shape the healthcare of tomorrow.
Reference Projects
HEART: Precise fluid determination through ECG signal analysis and AI
The HEART project is researching a non-invasive method for monitoring the body's fluid requirements using ECG signals. AI-supported analyses of large amounts of data support precision medicine and offer patients considerable advantages.
QML4Med: Quantum computing meets machine learning in medicine
The QML4Med research project aims to explore the potential of the promising fusion of quantum computing and machine learning in a medical context.
vizARd – Visual Augmented Reality Assistant for Spatial Mapping
Augmented reality to support preoperative planning
Research project AIMS
The aim of AIMS is to develop and validate an early warning system using artificial intelligence to warn of deteriorating conditions on the hospital ward before they occur.
SEE-KID – Software Engineering Environment for Knowledge-based Interactive Eye Motility Diagnostics
The SEE-KID / CEVD research initiative has been working on the computer-aided simulation of eye malpositions and their surgical correction for more than 20 years.
Solutions
CaTabRa
Automated data analysis, validation, and machine learning model training
Technical Articles
AI-supported modeling: revolution in oral surgery
Automated AI-supported modelling revolutionizes oral surgery: efficient patient models for improved diagnosis and personalized treatment.
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Artificial intelligence as the key to recognizing brain arteries
Artificial intelligence is opening up new avenues in medical imaging: advanced algorithms can now also identify and annotate cerebral arteries in non-angiographic images, enabling a broader diagnosis and treatment of cerebral vascular diseases.
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Physics simulations in milliseconds
Simulations are indispensable in research and technology. Numerical methods are precise but time-consuming. AI accelerates physical simulations while remaining precise.
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How software helps doctors analyze brain aneurysms
As part of the ARES research project, software was developed to support doctors in analyzing cerebral aneurysms. Innovative technologies are used to precisely characterize geometry and biomechanics in order to facilitate treatment decisions.
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