STRATUM is an intelligent 3D support tool designed to help surgeons make safer and faster decisions during brain tumor surgery. By combining advanced medical imaging, artificial intelligence and high-performance computing, the system provides real-time guidance that supports more precise and informed surgical procedures directly in the operating room.

Problem

Brain tumor surgery is extremely complex and requires surgeons to distinguish tumor tissue from healthy brain tissue with high precision. During surgery, large amounts of imaging and patient data are generated, but current tools struggle to process and integrate this information in real time. The lack of AI and high-performance computing at the point of care can lead to less cutting precision, longer surgeries and delayed decisions all of these increasing the risk for patients. Surgeons need reliable, real-time support to better interpret data and reduce uncertainty and errors during critical moments.

Solution

STRATUM brings high-performance computing and artificial intelligence directly into the operating room to support surgeons while the operation is taking place. The system collects and combines data from multiple medical imaging sources into a single platform and analyzes it in real time using AI. Tumor tissue and critical brain areas are automatically identified and highlighted, and the results are displayed as clear, easy-to-understand 3D visual guidance. This real-time support helps surgeons locate tumors more accurately, avoid sensitive areas of the brain and make faster, safer decisions during surgery.

Success Story

• Industry: Health / Medical Technology
• Status and results: STRATUM is currently a functional prototype and is being prepared for clinical validation. A two-year multicenter study involving more than 500 patients in three European hospitals is planned to evaluate its impact in real surgical settings.
• Impact: The technology aims to increase complete tumor removal by around 20%, reduce unnecessary removal of healthy brain tissue by up to 50%, and shorten surgery time by approximately 30%. These improvements are expected to reduce complications, lower hospital costs and support faster patient recovery.