Description du projet
Incorporation de l’informatique dans les soins aux victimes d’accidents vasculaires cérébraux aigus
L’utilisation de l’apprentissage automatique (ML) et de l’intelligence artificielle (IA) est en hausse dans le domaine médical, étayant les décisions en matière de diagnostic et de traitement. C’est le cas pour la prise en charge des accidents vasculaires cérébraux aigus. Un système informatisé de soutien clinique (CDSS) peut aller au-delà de l’état actuel des connaissances cliniques et identifier des relations complexes et non linéaires entre une multitude de variables pronostiques. Le projet VALIDATE, financé par l’UE, développera un CDSS pour le traitement des patients victimes d’un accident vasculaire cérébral aigu. En s’appuyant sur les données disponibles et en tirant parti des opportunités technologiques actuelles dans le domaine de l’IA, il développera des solutions d’IA fiables visant à améliorer la survie et la qualité de vie des patients. Les décisions de traitement prises à l’aide d’analyses de données fondées sur l’IA seront plus sûres, plus rapides et plus précises.
Objectif
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.
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
10117 Berlin
Allemagne