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Memorias de investigación
Artifcial Intelligence in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living
Áreas de investigación
  • Ingenierías
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.
Entidad relacionada
Nacionalidad Entidad
Sin nacionalidad
Lugar del congreso
Viena Austria
Esta actividad pertenece a memorias de investigación
  • Autor: Maria Elena Hernando Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Bioingeniería y Telemedicina
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Tecnología Fotónica y Bioingeniería
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