FRAI.lab Medicine
The FRAI.lab Medicine is an innovative AI computing laboratory at the Freiburg University Medical Center.
- Our aim is to integrate artificial intelligence (AI) and medical technology into clinical practice in order to make neurosurgical operations more precise, safer and more efficient.
- We are creating the basis for a platform for start-ups, SMEs and research institutions to jointly develop solutions for the future of medicine.
Our key points:
- AI real lab at the Neurocenter
Direct integration of AI technologies in the OR.
- Access to highly complex medical data
Enables start-ups and companies to develop innovative solutions.
- Multimodal data fusion & real-time analyses
Combination of imaging, molecular diagnostics and intraoperative data.
- Clinically proven AI models
Development and validation in a real hospital environment.
- Interdisciplinary cooperation
Networking medicine, AI research and industry.
What problem are we solving and why?
In neurosurgery, precise diagnoses and interventions are essential in order to achieve the best possible treatment outcome. But despite modern medical technology, there are major challenges:
Lack of access to medical data
Startups and SMEs often do not have direct access to real OR data, which makes it difficult to develop and validate new AI models.
Limited integration of AI technologies
AI-supported assistance systems are not yet established in many hospitals or are difficult to integrate into existing processes.
Regulatory and technical hurdles
Technical requirements and organizational complexity make it difficult to implement innovative solutions.
What problem are we solving and why?
In neurosurgery, precise diagnoses and interventions are essential in order to achieve the best possible treatment outcome. But despite modern medical technology, there are major challenges:
- Lack of access to medical data: Startups and SMEs often do not have direct access to real surgical data, which makes it difficult to develop and validate new AI models.
- Limited integration of AI technologies: AI-supported assistance systems are not yet established in many hospitals or are difficult to integrate into existing processes.
- Regulatory and technical hurdles: Technical requirements and organizational complexity make it difficult to implement innovative solutions.
Why is there this problem?
The main causes of these challenges lie in several areas:
Lack of infrastructure for AI development in medicine
Many hospitals do not have the technical requirements to test AI applications.
Companies lack access to OR data to train algorithms.
Fragmented and difficult to access data
Medical data is often isolated and not available in a standardized format.
Data protection regulations make the exchange and processing more difficult.
Lack of interdisciplinary cooperation
AI experts often have little direct contact with the real challenges in surgery.
Clinics lack the expertise to use AI models effectively.
High innovation risk for companies
The development of new AI-supported medical technology is expensive and time-consuming.
A lack of test environments and regulatory requirements increase the risk of commercial failure.
Why is there this problem?
The main causes of these challenges lie in several areas:
- Lack of infrastructure for AI development in medicine
- Many hospitals do not have the technical requirements to test AI applications.
- Companies lack access to OR data to train algorithms.
- Fragmented and difficult to access data
- Medical data is often isolated and not available in a standardized format.
- Data protection regulations make the exchange and processing more difficult.
- Lack of interdisciplinary cooperation
- AI experts often have little direct contact with the real challenges in surgery.
- Clinics lack the expertise to use AI models effectively.
- High innovation risk for companies
- The development of new AI-supported medical technology is expensive and time-consuming.
- A lack of test environments and regulatory requirements increase the risk of commercial failure.
How do we solve this problem?
The FRAI.lab Medicine is the basis for safely and efficiently integrating AI technologies into neurosurgery:
AI real lab at the Neurocenter
Direct testing possibilities in a real OR environment.
Use of the latest high-end technologies such as intraoperative Raman spectroscopy and molecular imaging.
360° data platform for multimodal AI models
Fusion of pre- and intraoperative image data, tissue structure analyses and genomic information.
Real-time processing using modern data streaming technologies.
Cooperation between medicine, industry and research
Close cooperation with start-ups, SMEs and academic institutions.
Interdisciplinary development and testing of new medical technology.
Innovation-friendly infrastructure
Provision of more than 100m² of innovation space.
Access to powerful GPU computing resources for AI models.
Data protection and regulatory security
Use of innovative methods for the anonymization and secure processing of patient data.
Development of AI models within the protected infrastructure of the clinic.
How do we solve this problem?
The FRAI.lab Medicine is the basis for safely and efficiently integrating AI technologies into neurosurgery:
- AI real lab at the Neurocenter
- Direct testing possibilities in a real OR environment.
- Use of the latest high-end technologies such as intraoperative Raman spectroscopy and molecular imaging.
- 360° data platform for multimodal AI models
- Fusion of pre- and intraoperative image data, tissue structure analyses and genomic information.
- Real-time processing using modern data streaming technologies.
- Cooperation between medicine, industry and research
- Close cooperation with start-ups, SMEs and academic institutions.
- Interdisciplinary development and testing of new medical technology.
- Innovation-friendly infrastructure
- Provision of more than 100m² of innovation space.
- Access to powerful GPU computing resources for AI models.
- Data protection and regulatory security
- Use of innovative methods for the anonymization and secure processing of patient data.
- Development of AI models within the protected infrastructure of the clinic.
Our vision
With the FRAI.lab, we are creating the basis for AI-supported, patient-centered neurosurgery and actively driving forward the future of digital medicine.
Would you like to be part of this innovation?
Contact us for collaborations, research projects or joint developments!
