Strategic Research

Research Group on Artificial Intelligence (Banzai)

Since 1998 we have been working in the application of artificial intelligence technologies to medicine. Our late work is centered in the area of knowledge representation and decision support systems for diagnosis, treatment and prognosis. Our focus is double:

  • to produce intelligent software to support health care professionals to make clinical decisions
  • to develop tools to train physicians in the correct application of clinical guidelines in diagnosis and therapeutic procedures

Our main interests are the induction of clinical algorithms from biomedical databases, the combination of medical knowledge for multimorbid patients, and the synthetization of episode of care data for simulation.

We collaborate with the Emergency Unit at the Hospital Clínic de Barcelona and the Clinical Simulation Center at the Hospital Sant Joan de Reus.

Every year since 2008, the group organizes the International Workshop on Knowledge Representation for Health Care (KR4HC) and publishes a Springer book Series on Knowledge Representation for Health Care.

Main projects

  • 1.

    K4CARE: Knowledge Based Homecare eServices for an Ageing Europe

    In eHealth it is increasingly necessary to develop tele-informatic applications that can support everyone involved in providing basic medical assistance (doctors, nurses, patients, relatives, and citizens in general). The care of senior citizens, chronically ill and disabled people, and people with mental illnesses involves life long treatment under continuous expert supervision. Moreover, health care workers and patients accept that being cared for in hospitals or social centres may be unnecessary and even counterproductive. From a global view, such patients may saturate national health services and increase health related costs. The debate over the crisis of financing health care is open and is a basic political issue for old and new EU member countries and could hinder European convergence. To face these challenges we can differentiate medical assistance in health centres from assistance in a ubiquitous way (Home Care model); the latter can undoubtedly benefit from the introduction of ICT. This project will develop a platform to manage the information needed to guarantee an ICT Home Care service.

  • 2.

    HYGIA: Design and Application of new Artificial Intelligence techniques to the acquisition and use of medical knowledge represented as care pathways

    In this project we propose the use of Intelligent Systems in the processes of acquiring, formalizing, adapting, using and assessing knowledge models that describe Care Pathways (CPs). This project sets out that CPs are not generated directly from the clinical practice guideline (CPGs), but from electronic protocols, that represent versions of the adapted guidelines when they are made specific to the particular healthcare circumstances. The CPs obtained could be used by intelligent computer science distributed systems to facilitate the decision making that allows the e-care in the context of a new Information Society.



Bioinformatics expertise:

Group Leader:

David Riaño

Bioinformatics services offered