Research for smart healthcare

The healthy face of Artificial Intelligence and Machine Learning

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Presentation

The research group eXiT (Control Engineering and Intelligent Systems) focuses its work on decision support systems, case-based reasoning, machine learning and optimization.

One of the research group’s success is to improve the quality of healthcare through innovative applications of artificial intelligence, to which this website gathers all the work done in that application domain.


Second prize in the Vall d'Hebron Research Institute (VHIR) Innovation Healthcare Contest for the NoaH project (Neonatologist at Home),

ITEA Excellence Awards 2015 for the MEDIATE project (a project aimed at supporting healthcare professionals in minimally invasive, image guided intervention and treatment)

Best Paper in the 2014 IMIA Yearbook of Medical Informatics: “Enabling the use of hereditary information from pedigree tools in medical knowledge-based systems”

eXit eXit

Mobile Health Applications

Moving artificial intelligence to a mobile phone is a challenge but an opportunity to improve care as enabling gathering information from the patient routine.

Albert Pla PhD on AI

Family Care

Technology allows to monitor premature babies at home which speeds up their recovery in their family environment .

Cristina Armero Neonatologist
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