Project Details
Description
The IASON research project aims to fundamentally improve the treatment of intracranial aneurysms through innovative AI-supported simulation and analysis tools. Intracranial aneurysms affect 1-2% of the population and are responsible for 75-80% of non-traumatic subarachnoid hemorrhages, which have a high mortality rate of 32-67%.
Currently, there is no comprehensive solution in vascular neurosurgery that covers all relevant aspects (decision support for treatment necessity, surgical planning, simulation, risk, and outcome analysis). IASON offers a comprehensive neurosurgical research platform that provides advanced technologies for the entire patient journey. The goal is to revolutionize surgical planning, patient selection, and surgical training.
The vision of IASON is an emerging research platform that allows surgeons to realistically assess planned interventions through realistic flow simulations and enables the development of optimal clipping strategies. AI-supported analyses will enable complex situations to be efficiently simulated and evaluated. IASON will create ideal surgical preparation, innovative training opportunities and increased patient safety through precise detailed planning, leading to better treatment outcomes, fewer risks and an overall higher quality of medical care.
Project Goals and Approaches:
1. Researching AI methods for precise segmentation and deformation of vascular trees.
2. Developing optimized methods for determining hemodynamic parameters and creating patient-specific risk predictions.
3. AI-based real-time interaction and simulation of non-linear material models for realistic aneurysm clipping simulations.
4. Gaining insights from pre- and postoperative blood flow simulations to optimize surgical strategies.
The consortium is coordinated by RISC Software GmbH and involves collaborations with partners such as the renowned neurosurgery department JKU-MED, EULERIAN, AMC, RNB, and IPPE, each bringing specific competencies in the fields of medicine, AI-based procedures, simulation techniques, and regulatory requirements.
IASON contributes to sustainability by improving health and well-being (SDG 3) as well as quality education (SDG 4). Gender aspects are considered by incorporating gender-specific differences in aneurysm incidence and treatment into the research and data analysis.
The project results are intended to be developed into a comprehensive system in vascular neurosurgery that can be marketed internationally. The project strengthens the scientific reputation of the participating institutions and promotes knowledge transfer through publications, conferences, and training.
The IASON research project strengthens the economic position of Upper Austria by promoting innovations in medical technology, creating new jobs, improving collaboration between companies and research institutions, and enhancing the quality of medical care. It contributes to sustainability in healthcare by increasing the efficiency and safety of operations and reducing complications. The international visibility and reputation of Upper Austria are further enhanced by presenting the project results at conferences and in scientific journals.
Currently, there is no comprehensive solution in vascular neurosurgery that covers all relevant aspects (decision support for treatment necessity, surgical planning, simulation, risk, and outcome analysis). IASON offers a comprehensive neurosurgical research platform that provides advanced technologies for the entire patient journey. The goal is to revolutionize surgical planning, patient selection, and surgical training.
The vision of IASON is an emerging research platform that allows surgeons to realistically assess planned interventions through realistic flow simulations and enables the development of optimal clipping strategies. AI-supported analyses will enable complex situations to be efficiently simulated and evaluated. IASON will create ideal surgical preparation, innovative training opportunities and increased patient safety through precise detailed planning, leading to better treatment outcomes, fewer risks and an overall higher quality of medical care.
Project Goals and Approaches:
1. Researching AI methods for precise segmentation and deformation of vascular trees.
2. Developing optimized methods for determining hemodynamic parameters and creating patient-specific risk predictions.
3. AI-based real-time interaction and simulation of non-linear material models for realistic aneurysm clipping simulations.
4. Gaining insights from pre- and postoperative blood flow simulations to optimize surgical strategies.
The consortium is coordinated by RISC Software GmbH and involves collaborations with partners such as the renowned neurosurgery department JKU-MED, EULERIAN, AMC, RNB, and IPPE, each bringing specific competencies in the fields of medicine, AI-based procedures, simulation techniques, and regulatory requirements.
IASON contributes to sustainability by improving health and well-being (SDG 3) as well as quality education (SDG 4). Gender aspects are considered by incorporating gender-specific differences in aneurysm incidence and treatment into the research and data analysis.
The project results are intended to be developed into a comprehensive system in vascular neurosurgery that can be marketed internationally. The project strengthens the scientific reputation of the participating institutions and promotes knowledge transfer through publications, conferences, and training.
The IASON research project strengthens the economic position of Upper Austria by promoting innovations in medical technology, creating new jobs, improving collaboration between companies and research institutions, and enhancing the quality of medical care. It contributes to sustainability in healthcare by increasing the efficiency and safety of operations and reducing complications. The international visibility and reputation of Upper Austria are further enhanced by presenting the project results at conferences and in scientific journals.
Acronym | IASON |
---|---|
Status | Active |
Effective start/end date | 01.04.2025 → 31.03.2028 |
Collaborative partners
- Johannes Kepler University Linz
- eulerian-solutions e.U.
- alpha medical concepts e.U.
- R'n'B Consulting GmbH
- RISC Software GmbH (lead)
Fields of science
- 302051 Neurosurgery
- 205 Materials Engineering
- 211912 Product design
- 104019 Polymer sciences
- 301405 Neuropathology
- 302052 Neurology
- 301114 Cell biology
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management