Project description
Incorporating computer science in acute stroke care
The use of machine learning (ML) and artificial intelligence (AI) is on the rise in the medical field, assisting diagnosis and treatment decisions. Such is the case with acute stroke care. A computerised clinical support system (CDSS) can go beyond the current clinical state of the art and find complex and non-linear relationships across a multitude of prognostic variables. The EU-funded VALIDATE project will develop a CDSS for treating acute stroke patients. Drawing on the available data and taking advantage of current technological opportunities in the field of AI, it will develop trustworthy AI solutions aimed at improving patient survival and quality of life. Treatment decisions made using AI-based data analytics will be safer, faster and more accurate.
Objective
Based on previously developed models and an existing prototype of a clinical decision support system (patent pending), we set out in this project to further develop, test, and validate this clinical decision support for the treatment stratification of acute stroke patients to improve patient outcome. Machine learning (ML)-enabled Artificial intelligence (AI) methods are increasingly adopted in the medical field. Implementing ML-based CDSSs have the potential to be go beyond the current clinical state-of-the-art as AI excels at finding complex and non-linear relationships across a multitude of prognostic variables. AI also has the promise to combine different modalities, such as imaging and clinical values, leading to powerful stratification tools accounting for a multitude of patient sub-populations. Our consortium combines excellence in technical and medical machine learning development with the clinical expertise of three leading stroke hospital partners. Additionally, our consortium benefits from the special expertise in the development of trustworthy AI, software design, and the translation of AI models to the clinical setting with focus on the regulatory process. By leveraging the available medical data and exploiting technological opportunities in the field of AI, and developing and validating trustworthy AI solutions to be implemented in the clinical workflow we are seeking to surpass the clinical state-of-the-art by making a significant and sustainable impact on the treatment of acute stroke that will improve patient survival, outcome and quality of life. The results of our work will serve as a pathway for future projects and we will make our experiences public in the form of standard operating procedures (SOPs) in the areas of development, testing, validation, and regulatory processes.
Fields of science
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
10117 Berlin
Germany