ACACIA- Advancing Cancer care And Cardiac care through Interpretable

pCardiac diseases and cancer are among the world’s leading causes of death. The ACACIA project aims to advance cancer and cardiac care with Artificial Intelligence (AI), taking a patient-centered and physician-centered approach to address unresolved challenges that hamper adoption of AI in clinical practice. For cancer, early detection, timely and accurate diagnosis and staging, and subsequent selection of the appropriate treatment for each patient are critical factors to improve patient outcomes. Diagnostic imaging plays an integral role in many phases of a patient’s care path. The project will build on the recent developments of AI technology to better support image analysis, achieve earlier detection and better characterization of cancer and improve monitoring of response to treatment. It will shape optimal physician-AI collaboration and develop tools and methods for bringing AI to clinical practice and evaluate actual use, trust, and experience with AI. Cardiac patients recovering from surgery in the Intensive Care Unit are at significant risk of shock, infections, and sepsis. In addition, medical ICU staff is spending a considerable amount of time in bookkeeping and patient handover. AI-based medical predictive models are capable of detecting risk of deterioration of these patients in an earlier stage than in current practice. The resulting AI-based clinical decision support tools, in combination with workflow support and user-centered visualizations, will enable significant improvement of ICU performance and patient care./p


Projectnummer PPS-toeslag Onderzoek en Innovatie_2021_345
Rijksbijdrage € 241.000,00
Jaar 2021
Subsidieregeling PPS-toeslag Onderzoek en Innovatie
Partners Philips Electronics Nederland B.V. Stichting Máxima Medisch Centrum Stichting Catharina Ziekenhuis Stichting Kempenhaeghe
Aanvrager Technische Universiteit Eindhoven