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Descripción
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| Diabetes is a complex disease where healthcare professionals and patients have to work together to achieve a good metabolic control. Patients play an active role in their own care and need to have the knowledge to make decisions adapted to their daily living. In such scenario, AI applications make possible to support patients decisions at any scenario of their daily living and additionally they open the door to react at time scales smaller than the programmed face-to-face visits times. In the past decade, the diabetes management paradigm is being transformed by the combination of continuous glucose monitoring and insulin pump data. Additionally, current wearable technologies allow to monitor other physiological parameters (i.e. heart rate, sleep quality, physical activity, etc) that have a close relationship with metabolic control. Nowadays, the challenge is to create proactive AI systems, integrated in the healthcare information systems, accessible from patients devices and able to collect relevant multi-parametric data from patients in a seamless way. Aspects as user interfaces design and user modelling play a crucial role in the success of users interaction with AI systems. This talk will discuss the lessons learned in previous experiences and projects and will present new opportunities for AI in diabetes. | |
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Internacional
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Si |
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ISSN o ISBN
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1861-6410 |
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Entidad relacionada
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Nacionalidad Entidad
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Sin nacionalidad |
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Lugar del congreso
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Viena Austria |