🚀 go-pugleaf

From: IUO@DACTH51.bitnet (Joachim Hoefener)
To: mod-ki@unido.informatik.uni-dortmund.de
Date: Fri, 8 Feb 91 09:09 N
Subject: <mod-ki 0648> Conference Announcement AIME91
Keywords: 

mod-ki message 0648
************************************************************************
Dear List reader

Please find attached the conference announcement and program of the
AIME 91 conference, which will be held in Maastricht 24th-27th June
1991. When you are interested to receive the official brochure and the
registration form, please drop me a message (preferably EMAIL).
Those who received the call for papers need not to reply, since
they are on our mailing list for the announcement.

Please feel free to distribute this message to people that may be
interested in this conference.

Thank you for your patience.
Jan Talmon


CONFERENCE ANNOUNCEMENT
AIME 91

Third European Conference on Artificial Intelligence in Medicine
University of Limburg, Maastricht
24th-27th June 1991

AIME and AIME 91
In 1986 the European Society for Artificial Intelligence in
Medicine (AIME) was established to foster fundamental and applied
research in Artificial Intelligence for medical care and medical
research. AIME also assists industry in identifying high quality
applications which exploit these techniques.
A major feature of AIME activity is a series of international
conferences held every two years. After successful meetings in
Marseilles (1987) and London (1989), the third conference in this
series will be held in Maastricht from 24th-27th June 1991.
The Maastricht conference consists of a tutorial program, keynote
addresses, oral presentations of scientific work, posters and
demonstrations.
The conference language will be English. No translation services
will be provided.

Expected Audience
The conference is primarily targeted at Computer Scientists, AI
Specialists, Medical Informaticians and Doctors with an interest in
medical decision aids.

Registration Fees
The conference fee includes refreshments and lunches during the
conference, the welcome reception, the conference dinner and a copy
of the proceedings.

Registration Fee             before 1st April 1991             fl 600,--
                             after 1st April 1991              fl 700,--

There is a limited number of places for pregraduate students at a
fee of fl 150,--. They will, however, not receive the proceedings
of the conference. A recommendation letter of a responsible
professor is required.

The fee for one tutorial is fl 250,--, for two tutorial (one in the
morning and one in the afternoon) is fl 450,--. The fee for two
tutorials also includes a lunch on Monday 24th June.

The fee for accompanying persons, including the welcome reception
and the conference diner is fl 150,--.

Cancellation
A 10% handling charge will be made on cancelled registrations
before 1st May. There is a 50% charge for cancellations between 1st
May and 1st June. After the 1st June the registration fee is not
refundable.

Accommodation
The conference organizers offer the possibility to make a
reservation of hotel accommodation. We can offer rooms in hotels at
various price ranges. Reservations made after the 1st of May can
not be guaranteed. A deposit of dfl 50,-- is required for
processing your reservation. This amount will be deducted from your
hotel bill. See the registration form for details on prices.

Payment
All payments should be made in Dutch guilders either to the
bankaccount number 67.95.81.901 (NMB Bank, Maastricht) or by means
of Eurocheques which should accompany the registration form.

Posters and Demonstrations
Delegates who wish to present a poster or demonstration of a system
should send in an abstract of maximally 500 words. When accepted
for presentation, these abstracts will be published in the final
conference program.
Those who wish to demonstrate systems should state their hardware
and software requirements on a separate sheet. The deadline for
these submissions is 1st April 1991. Correspondence regarding
posters and demonstrations should be addressed to:
Jan L. Talmon
University of Limburg
Dept. of Medical Informatics
PO Box 616
6200 MD Maastricht
The Netherlands
Tel: +31-43-888409
Fax: +31-43-436080
EMAIL: Talmon@MI.RULimburg.nl

Message from the Programme Chairman
The Third European Conference on Artificial Intelligence (AI)
continues the tradition of successful meetings organized by the
AIME Society to promote scientific interchange among people active
in all the subfields of AI in medicine.

The quality of the papers to be presented will show the high level
of scientific maturity reached by the AIME community. This was
certainly favored by the European Community's exploratory programme
Advanced Informatics in Medicine. It significantly promoted the
collaboration between european research institutions and companies
working together on large and advanced projects.

I am sure that AIME 91 will provide a major forum in which we can
both demonstrate the results so far obtained and discuss how to
increase the impact of AI in real clinical environments.


Mario Stefanelli


Programme
Monday 24th June
8.30 - 17.00     Registration
9.00 - 12.00     Tutorials 1 and 2
12.00 - 14.00    Lunch for those who register for a morning and an
                 afternoon tutorial
14.00 - 17.00    Tutorials 3 and 4
18.00            Welcome reception

Tuesday 25th June
8.30 - 12.00     Registration
9.00 - 9.40      Opening session
                 Opening of the conference by the Chairman of the
                 Local Organizing Committee
                 Welcome by the chairman of the AIME Society
                 Welcome address by Niels Rossing, AIM office,
                 Brussels
9.40 - 10.40     Keynote Address. Ted Shortliffe, Stanford
                 University, Stanford USA
10.40 - 11.00    Coffee Break
11.00 - 12.30    Session I: Methodology
      A Developmental Perspective on the Role of Biomedical
      Knowledge in Medical Problem Solving - H.P.A. Boshuizen, H.G.
      Schmidt, J.L. Talmon, University of Limburg, Maastricht, The
      Netherlands

      ACCORD - A Metamodel for Problem Solving Competence - D.
      Kraus, B. Petkoff, ZTBiomedizin, Bad Oeynhausen, Germany

      The Role of Domain Models in Maintaining Consistency of Large
      Medical Knowledge Bases - A. Glowinski, E. Coiera, M. O'Neil,
      Imperial Cancer Research Fund Laboratories, London, England,
      UK

12.30 - 13.30    Lunch
13.30 - 15.00    Session II: Knowledge Representation
      A Framework for Causal Reasoning with a Functional Approach -
      P. Barahona, M. Veloso, Universidade Nova de Lisboa, Monte da
      Caparica, Portugal

      Modelling and Knowledge Representation within HIOS+ - F.M.H.M.
      Dupuits, A. Hasman, E.M.J.J. Ulrichts, University of Limburg,
      Maastricht, The Netherlands

      Medical Knowledge Representation and Predictive Data Entry -
      W.A. Nowlan, A.L. Rector, University of Manchester, England,
      UK
15.00 - 15.30    Tea break
15.30 - 17.00    Session III: Clinical Applications I
      A Connectionist Aid to the Early Diagnosis of Myocardial
      Infarction - R.F. Harrison, S.J. Marshall, R.L. Kennedy,
      University of Sheffield, Sheffield, England, UK

      Automation of Medical Audit in General Practice - W.P.A.
      Beckers, P.F. de Vries Robb, E.J. van den Haring, A.M.
      Zwaard, H.G.A. Mokkink, R.P.T.M. Grol, University Hospital
      Groningen, Groningen, and University of Nijmegen, Nijmegen,
      The Netherlands

      An Intelligent System for Monitoring Infections in Heart
      Transplant Recipients - C. Larizza, M. Stefanelli, P. Grossi,
      L. Minoli, A. Pan, Universit: di Pavia, Pavia, Italy
17.00 - 19.00    Poster and demonstration session

Wednesday 26th June
9.00 - 10.00     Keynote address: Image analysis and AI. Speaker to
                 be announced.
10.00 - 11.00    Coffee break /Poster and demonstration session
11.00 - 12.30    Session IV: Modelling
      Dual Teleological Perspectives in Qualitative Circulatory
      Analysis - K. Downing, Link:ping University, Link:ping, Sweden

      Physiological Modelling Using RL - F. de Geus, E. Rotterdam,
      S. van Denneheuvel, P. van Emde Boas - University of
      Groningen, Groningen, The Netherlands

      Integrated Use of Causal and Algebraic Physiological Models to
      Support Anaesthetists in Decision Making - E. Rotterdam, P. de
      Vries Robb, University Hospital Groningen, Groningen, The
      Netherlands
12.30 - 13.30    Lunch
13.30 - 15.00    Session V: Uncertainty Management
      Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation
      on Graphical Models - R. Bellazzi, C. Berzuini, S. Quaglini,
      D. Spiegelhalter, M. Leaning, Universit: di Pavia, Pavia,
      Italy, MRC Biostatistics Unit, Cambridge, England, UK,
      University College London, London, England, UK

      A Model-Based Approach to Insulin Adjustment - S. Andreassen,
      R. Hovorka, J. Benn, K.G. Olesen, E. Carson, Aalborg
      University, Aalborg, Denmark, City University, London,
      England, UK, St. Thomas' Hospital, London, England, UK

      A Control Blackboard Architecture for Therapy Planning - S.
      Quaglini, R. Bellazzi, C. Berzuini, M. Stefanelli, G. Barosi,
      Universit: di Pavia, Pavia, Italy
15.00 - 15.30    Tea break
15.30 - 17.00    Session VI: Knowledge Acquisition
      A comparative evaluation of three approaches to the acquisiti-
      on of medical knowledge - W. Post, M.W. van Someren,
      University of Amsterdam, Amsterdam, The Netherlands

      A knowledge Acquisition Tool for Medical Diagnostic Expert
      Systems - G. Lanzola, M. Stefanelli, Universit: di Pavia,
      Pavia, Italy

      Machine Learning in Data Rich Domains: Some Experiences from
      the KAVAS Project - J.L. Talmon, P. Braspenning, J. Brender,
      P. McNair, University of Limburg, Maastricht, The Netherlands,
      CRI a/s, Birker:d, Denmark, Hvidovre Hospital, Hvidovre,
      Denmark
18.30 -          Social Event

Thursday 27th June
9.00 - 10.00     Keynote Address: Vimla Patel
10.00 - 11.00    Coffee break / Poster and Demonstrations session
11.00 - 12.30    Session VII: Clinical Applications II
      Measuring Performance of Probabilistic Computer Diagnosis with
      Multiple Correct Answers. Evaluation of an Expert System for
      Rheumatological Diagnosis. - H.J. Bernelot Moens, J.K. van der
      Korst, Jan van Breemen Institute, Amsterdam, The Netherlands

      The Application of Distributed Artificial Intelligence to
      Medical Diagnosis - P. Burke, R.D. Appel, M. Funk, R.J.
      Vargas, D.F. Hochstrasser, J.-R. Scherrer, Geneva University
      Hospital, Geneva, Switzerland, Geneva University, Geneva,
      Switzerland

      Knowledge Representation of Discharge Summaries - R.H. Baud,
      A.-M. Rassinoux, J.-R. Scherrer, University State Hospital of
      Geneva, Geneva, Switzerland
12.30 - 13.30    Lunch
13.30 - 15.00    Session VIII: The User Perspective
      Patient's and Physician's Opinion about Computer Expert
      Systems - S. Schewe, J. M:ller-Nordhorn, S. Mitterwald,
      Medizinische Poliklinik der Universit:t, M:nchen, Germany

      Designing an Adaptive Interface for EPIAIM - D.C. Berry, F. de
      Rosis, University of Oxford, Oxford, England, UK, University
      of Bari, Bari, Italy

      CAP: A Critiquing Expert System for Medical Education - L.
      Console, R. Conto, G. Molino, V. Ripa di Meana, P. Torasso,
      Universit: di Torino, Torino, Italy
15.00 - 15.30    Tea break
15.30 - 16.45    Round Table: Lessons from the past - Trends for the
                 future - Chairman: Ted Shortliffe, Participants
                 (tentative): Tim de Dombal, Jean-Raoul Scherrer,
                 Jan van Bemmel, Niels Rossing, Vimla Patel.

Tutorial Programme
Monday 24th
9.00 - 12.00
Tutorial I:      Introduction Medical Decision Aids
Jan L. Talmon, Dept. of Medical Informatics, University of Limburg,
Maastricht, The Netherlands.
This tutorial will give an introduction to the techniques that are
currently used in medical decision aids. It will cover a wide range
of decision support systems. The difference between different types
of systems and their modality will be discussed. Besides the
different roles such systems may play, the technical aspects such
as knowledge representation, reasoning mechanisms and user
interfaces will be discussed. Attention will be given to strategies
for the development and evaluation of such decision aids.
This tutorial aims at clinicians and researchers that have no
experience in developing decision aids based on AI techniques.

Tutorial II:     Uncertainty management in AI systems
Carlo Berzuini, Dipartimento di Informatica e Sistemistica,
Universit: di Pavia, Pavia, Italy
Many representations of uncertainty have been suggested in AI. This
tutorial reviews a number of these, but puts strong emphasis on
Probabilistic Networks (PNs). PNs are gaining increasing attention
and application, thanks to their capability of synthesizing the
best parts of AI and statistical thinking. In fact, they exploit a
network to represent the "qualitative" expert's knowledge, and they
use the quantitative power of probability and the ability to learn
from data. This tutorial will motivate the use of PNs by
illustrating medical applications where alternative ad hoc
mechanisms, such as rules supplemented with certainty factors, fail
to reproduce correct reasoning, or are inadequate to guide action.
The basic semantics of PNs, and their capability of reflecting the
notion of relevance, will be explained. Then the idea of local
computation, the only possible way of performing inference by
probability propagation over large networks, will be illustrated.
Pearl's and Lauritzen & Spiegelhalter's algorithms will be
described. Then the discussion will move to propagation techniques
based on stochastic simulation, which work on PNs of arbitrary
connectivity and allow straightforward handling of continuous
variables. Recent progress on PNs containing continuous variables
will be reviewed, especially in connection with medical
applications which require the system to be able to learn about
continuous parameter from data.

12.00 - 14.00 Lunch

14.00 - 17.00
Tutorial III:    Knowledge acquisition: Development and maintenance
                 of medical knowledge bases
Pirkko Nyk:nen, Technical Research Centre of Finland, Medical
Engineering Laboratory, Tampere, Finland
The tutorial will concern knowledge acquisition for medical
decision support systems. The emphasis is on knowledge acquisition
from domain experts. The purpose of the tutorial is to give an
overview of knowledge acquisition and of different tools that can
be used in this difficult and labour intensive task.
The tutorial will present an overview of knowledge acquisition and
discuss the the phases in the knowledge acquisition and the
difficulties and pitfalls. We present and discuss the major
approaches for knowledge acquisition, i.e. traditional, manual
approaches, computer-based techniques and group-oriented
techniques. After introduction we discuss the major tools for
knowledge acquisition. First tools that implement shell-based
conceptual models, e.g. TEIRESIAS, second tools that implement
general problem-solving method, e.g. ROGET, and AQUINAS, and third
tools that implement task-based conceptual models, e.g. OPAL.
Finally we discuss the knowledge modelling and representation
languages and tools that support them, e.g. KADS and PROTEGE.
The presentation of the major tools aims at giving the attendants
an understanding of what are the relevant features of different
approaches and tools in medical domains and how the techniques and
tools can be best utilized during different phases of knowledge
acquisition.
The tutorial is aimed to people who have little experience with
knowledge based systems and who will learn more about the
techniques and tools that can assist in the knowledge acquisition
process.

Tutorial IV:     Databases, Knowledge Bases and Expert Database
                 Systems

Thierry Barsalou, IBM Thomas J. Watson Research Center, Yorktown
Heights, NY, USA
Future information systems will clearly require both the problem-
solving capabilities of expert systems and the data-handling
capabilities of database management systems. This need is
particularly evident in biomedicine, a data- and
knowledge-intensive domain.
Indeed, combining database and expert-system technologies into
"expert database systems" (EDS) is an emerging but already very
active research area. As with any new field, however, the concept
of EDS covers a wide range of architectures, tools, and
applications and draws upon such diverse fields as artificial
intelligence, database theory, logic and object-oriented
programming.
This tutorial will present an overview of the field and discuss
strategies for building expert database systems. Topics to be
covered include comparative analysis of database and knowledge-
based systems, motivation for combining the two technologies, EDS
requirements and design alternatives, relationship with semantic
data models and object-oriented databases, and medical applications
of EDSs. Various prototype systems will be described.


                            GENERAL INFORMATION

Publication
The proceedings of the conference will be published as a volume in
the series "Lecture Notes in Medical Informatics" by Springer
Verlag. Delegates, who paid the full fee, will receive a copy of
the proceedings at the beginning of the conference. The proceedings
will be generally available after the conference.

Venue
The conference will take place in one of the buildings of the
University of Limburg, Maastricht, which is located at
Tongersestraat 53.
The meeting place is at walking distance from the attractive centre
of the city of Maastricht.

Conference Diner
A conference diner will take place on a boat which will travel on
the river Meuse. This gives the delegates the opportunity to enjoy
the scenic surroundings of Maastricht from a different point of
view. We will also visit during that trip some impressive sluices
and canals.
This trip is included in the conference fee for the delegates and
the accompanying persons.

Social Programme for Accompanying Persons
A social program will be organized for accompanying persons when
there is sufficient interest. A walking tour through Maastricht and
a full day trip to an interesting location will be arranged.
Please indicate on the registration form whether you are interested
in a Social Programme. (Costs will be announced later).

How to get to Maastricht
Maastricht has it's own airport, located at about 15 km from the
centre of the city. There is a regular public bus service from the
airport to Maastricht.
Each half hour, there is a train connection between Maastricht and
other cities in The Netherlands, including Schiphol (Amsterdam)
Airport.
Each hour there is a train connection with major Belgium cities
like Liege and Brussels, both having an international airport.
Every two hours there is a train connection with Aachen, Germany
from which all major cities in Germany are served.
Those delegates who wish to come by car can easily reach
Maastricht. Motorways connect Maastricht with major cities in The
Netherlands, Belgium and Germany.

For further information contact:
Jan L. Talmon
University of Limburg
Dept. of Medical Informatics
PO Box 616
6200 MD Maastricht
The Netherlands
Tel: +31-43-888409
Fax: +31-43-436080
EMAIL: Talmon@MI.RULimburg.nl
************************************************************************