A Computational Environment for Medical Diagnosis Support Systems

Alves, Victor; Neves, José; Maia, Moreira; Nelas, Luís

doi:10.1007/3-540-45497-7_6

Cited by 5 publications

(1 citation statement)

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“…The priority in terms of implementation was to cover the medical imaging field going from data acquisition and storage to physicians, teachers and student's interfaces. The AIDA system, an Agency for Integration, Archive and Diffusion of Medical Information [5,19,20], that is at work at several main health care facilities in the north region of Portugal was our choice for heterogeneous data integration. These data is an immensely valuable resource for teaching and diagnostic aid.…”

Section: The Multi-agent System Implementationmentioning

confidence: 99%

Web-based Medical Teaching using a Multi-Agent System

Alves¹,

Neves²,

Nelas³

et al.

Applications and Innovations in Intelligent Systems XIII

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Web-based teaching via Intelligent Tutoring Systems (ITSs) is considered as one of the most successful enterprises in artificial intelligence. Indeed, there is a long list of ITSs that have been tested on humans and have proven to facilitate learning, among which we may find the well-tested and known tutors of algebra, geometry, and computer languages. These ITSs use a variety of computational paradigms, as production systems, Bayesian networks, schematemplates, theorem proving, and explanatory reasoning. The next generation of ITSs are expected to go one step further by adopting not only more intelligent interfaces but will focus on integration. This article will describe some particularities of a tutoring system that we are developing to simulate conversational dialogue in the area of Medicine, that enables the integration of highly heterogeneous sources of information into a coherent knowledge base, either from the tutor's point of view or the development of the discipline in itself, i.e. the system's content is created automatically by the physicians as their daily work goes on. This will encourage students to articulate lengthier answers that exhibit deep reasoning, rather than to deliver straight tips of shallow knowledge. The goal is to take advantage of the normal functioning of the health care units to build on the fly a knowledge base of cases and data for teaching and research purposes.

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Section: The Multi-agent System Implementationmentioning

confidence: 99%