AIME 91

Proceedings of the Third Conference on Artificial Intelligence in Medicine, Maastricht, June 24–27, 1991

  • Mario Stefanelli
  • Arie Hasman
  • Marius Fieschi
  • Jan Talmon

Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 44)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Keynote Addresses

    1. Front Matter
      Pages 1-1
    2. P. Suetens, R. Verbeeck, D. Delaere, J. Nuyts, B. Bijnens
      Pages 3-24
  3. Methodology

    1. Front Matter
      Pages 39-39
    2. D. Kraus, B. Petkoff, H. Mannebach
      Pages 51-71
    3. Andrzej Glowinski, Enrico Coiera, Mike O’Neil
      Pages 72-81
  4. Knowledge Representation

    1. Front Matter
      Pages 83-83
    2. Pedro Barahona, Mário Veloso
      Pages 85-94
    3. F. M. H. M. Dupuits, A. Hasman, E. M. J. J. Ulrichts
      Pages 95-104
    4. W. A. Nowlan, A. L. Rector
      Pages 105-116
  5. Clinical Applications

    1. Front Matter
      Pages 117-117
    2. Robert F. Harrison, Stephen J. Marshall, R. Lee Kennedy
      Pages 119-128
    3. W. P. A. Beckers, P. F. de Vries Robbé, E. J. van der Haring, A. M. Zwaard, H. G. A. Mokkink, R. P. T. M. Grol
      Pages 129-139
    4. Cristiana Larizza, Mario Stefanelli, Paolo Grossi, Lorenzo Minoli, Angelo Pan
      Pages 140-149
    5. Peter Burke, Ron D. Appel, Matthieu Funk, Reynaldo J. Vargas, Denis F. Hochstrasser, Jean-Raoul Scherrer
      Pages 160-172
    6. R. H. Baud, A.-M. Rassinoux, J.-R. Scherrer
      Pages 173-182
  6. Modelling

    1. Front Matter
      Pages 183-183

About these proceedings

Introduction

This book contains 26 papers describing research in the do- main of Artificial Intelligence in Medicine. The papers are grouped around the following themes: Methodology, knowledge representation, clinical applications, modelling, uncertain- ty management, knowledge acquisition, and the user perspec- tive. The book gives an overview of the current state of AI in medicine research in Europe. It presents several techni- ques and methods that are likely to play an important role in future applications. In the section on clinical applica- tions not only existing systems are described, but results of evaluation studies are presented as well.

Keywords

Artificial Intelligence Knowledge Acquisition Knowledge Representation Künstliche Intelligenz Modelling Uncertainty Management diagnosis expert system image segmentation knowledge base learning machine learning modeling problem solving therapy

Editors and affiliations

  • Mario Stefanelli
    • 1
  • Arie Hasman
    • 2
  • Marius Fieschi
    • 3
  • Jan Talmon
    • 2
  1. 1.Dipartmento di Informatica e SistemisticaUniversità di PaviaPaviaItalia
  2. 2.Department of Medical InformaticsUniversity of LimburgMaastrichtThe Netherlands
  3. 3.Département d’Information Médicale, Centre Hospitalier Régional et Universitaire de MarseilleHôpital de la ConceptionMarseille Cédex 5France

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-48650-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1991
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-54144-8
  • Online ISBN 978-3-642-48650-0
  • Series Print ISSN 0172-7788
  • About this book