Copenhagen, Denmark, 20/10/2022
Delivering the world’s first solution to significantly improve MRI-based stroke treatment and clinical workflow efficiency.
Cerebriu is a Danish MedTech radiology solutions provider, developing AI tools to automate radiology workflows. After receiving 13,4 M DKK from the Innovation fund of Denmark, Cerebriu will begin a strategic research collaboration with the University of Copenhagen, Odense University Hospital, and Herlev & Gentofte Hospital. The goal of this collaboration is to demonstrate the efficacy of real-world AI solutions in improving patient access and treatment, along with optimizing clinical workflow efficiency.
About the project
The parties will co-develop the world’s first, MR-based 24/7, in-process clinical diagnostics solution for patients suspected of acute stroke. Performing MRI image analysis in-process, while the patient is still in the scanner, enables real-time decision making to optimize workflow efficiency, patient throughput and quality of care.
If successful, this project will provide a superior door-to-needle time than current MRI workflows for hyper acute patients, thereby improving patient selection for treatment and reducing recovery time for acute stroke patients.
“MRI is often seen as a more complex and time-consuming alternative to CT,” said Prof. Mads Nielsen, Department of Computer Science at University of Copenhagen. “This project will demonstrate how the use of AI software such as Cerebriu’s imaging solution can overturn these perceptions and increase workflow efficiency.”
“We need fast and specific identification of stroke 24/7 to deliver time sensitive treatment important for good outcome for the patients”. said Prof. Christina Rostrup Kruuse, Head of research at department of Neurology at Herlev & Gentofte Hospital. “This is what Cerebriu can help us to achieve. First line MRI is an important tool in stroke identification, providing radiographers, radiologists and attending neurologists with a decision support tool for analyzing MR images and assigning treatment easier and faster for the right patients, thereby enabling a higher quality/efficiency ratio.”
Better tools for stroke detection are imperative
Worldwide around 5.5 million people die from stroke each year and approximately 50% of the survivors are left chronically disabled. Fast and accurate diagnosis of suspected stroke is critical for lowering risk of death, and life-changing disabilities.
“Stroke patients need fast diagnostic and treatment for best clinical outcome. Apollo from Cerebriu improves the treatment pathway at existing ‘MRI-first’ clinics,” said Prof. Ole Graumann, Radiologist at Odense University Hospital & Head of UNIFY – Research and Innovation Unit of Radiology, University of Southern Denmark. “In addition, this project will advocate MRI-first, overcoming the perceived practical barriers to adoption by supporting clinical staff throughout their entire workflow.”
“Our solution will offer an opportunity for radiology and ER units to draw the full benefits from modern technology,” said Matthew Liptrot, PhD, Head of Data and Analytics at Cerebriu. “By leveraging the latest deep-learning research, Cerebriu will radically extend its AI software’s existing capabilities for identifying, classifying, and triaging stroke whilst the patient is still in the scanner, thereby becoming a comprehensive stroke suite that will offer real impact to the clinical workflow.“
Cerebriu aims to improve diagnostic imaging workflow efficiency, quality of care and patient outcomes. Cerebriu’s software solution, Apollo aims to do it by automating image acquisition protocols and patient triage during MRI brain acquisition. Ultimately this could result in improved productivity, prioritizing the right patients at the right time with less burden on clinicians.
For more information, please visit www.cerebriu.com
Oded Yair Menuhin
BD & Strategic Partnerships Manager