["Méta-analyse": a web-based tool for research and analysis of radiology papers]. / "Méta-analyse" : un outil de recherche et d'analyse d'articles de radiologie sur le web.

Finding articles providing answers to specific clinical questions is greatly facilitated by the availability of indexed Medline abstracts using the Pubmed search engine. Nonetheless, the large number of references sometimes requires a time-consuming review of multiple abstracts. In order to streamline the search process, we have created a tool facilitating the search and review of these abstracts. We present here this tool named "Méta-analyse".

[Computerizing the radiological sign]. / L'informatisation du signe radiologique.

The goal of this article is to present to the radiologist the different theories of the sign and their consequences for sign representation in computer systems. All the theories of the sign are presented, but the most relevant are highlighted in order to explain the great modeling systems currently in use (such as DICOM-SR or the UMLS). The constructivist approach of the notion of disease, the semiosis process, which starting from signs produces new signs, and the structuralist analysis of sign through language are emphasized. The purpose of this analysis is to end up with a consensual representation of the sign that can be understood by human beings and processed by machines. Such a representation, also known as an ontology, is based on a semantic organization of language, thus allowing medicine to become a truly scientific discipline. It aims at disambiguating the symbols given to machines, which will help us in our reasoning.

Doc'UMVF: two search tools to provide quality-controlled teaching resources in French to students and teachers.

The UMVF project is a federation of medical teaching resources covering 32 medical schools in France. Today, the indexing of these resources is carried out manually by the CISMeF team at the University Hospital of Rouen. This indexing is based on MeSH thesaurus. We use a subset of SCORM metadata standard. This choice was defined in collaboration with the French Medical Virtual University consortium (French acronym: UMVF). Currently, with the UMVF searching tool (called Doc'UMVF), medical students can reach more than 3300 resources useful in their curriculum. Doc'UMVF is developed in close collaboration between the medical informatics laboratories of Rennes and Rouen. In this paper we present two complementary searching tools based on different methods and which are integrated and used to improve both the relevance and the coverage rate of the answers. A specific searching module has been built to retrieve specific resources concerning the National Medical Exam ENC ("Examen National Classant") is also available. Nevertheless, due to lack of time, numerous resources are not yet indexed. Therefore we have decided to use also automatic indexing method (Nomindex). This approach will be improved by further research works, resulting from Rouen and Geneva teams. After having built a searching meta-motor, our objective is to develop a meta-tool intended to index the whole set of digital pedagogical resources produced by the UMVF framework. This manual re-indexing will be carried out only for the most important resources (national references), with a more or less fine granularity.