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Trust in Artificial Intelligence

29 de June de 2023

We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections

We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections

We design systems for data-driven clinical decision support with the ability to provide interpretable explanations for the consolidation of decisions in clinical practice and the generation of new knowledge for the surveillance of multiresistant infections

ProjectConfainceCategoryBacterial infectionsDetailsWe study the best interplay mechanisms for epidemiological AI-based simulations and graph-based spatial-temporal representations. We investigate the personalised communication and visualization of spatial-temporal outbreak representations adapted to each user profile....Date2022-2024More infoRead moreShare