Programme | Speakers | Organization |

AIME The European Society for Artificial Intelligence in Medicine (AIME), was established in 1986 with two main goals:

  1. to foster fundamental and applied research in the application of AI to medical care and medical research
  2. to provide a forum for reporting significant results achieved at biennial conferences.

Additionally, AIME assists medical industrials to identify new AI techniques with high potential for integration into new products.
A major activity of this society has been a series of international conferences held biennially over the last 20 years:

  • Marseilles, France (1987)
  • London, UK (1989)
  • Maastricht, Netherlands (1991)
  • Munich, Germany (1993)
  • Pavia, Italy (1995)
  • Grenoble, France (1997)
  • Aalborg, Denmark (1999)
  • Cascais, Portugal (2001)
  • Protaras, Cyprus (2003)
  • Aberdeen, Scotland

The department of Medical Informatics of the University of Amsterdam is proud to be hosting AIME 07, the eleventh conference in the series, which will be a unique opportunity to present and improve the international state of the art of AI in Medicine from both a research and an applications perspective. For this purpose, AIME 07 will include invited lectures, contributed full and short papers, system demonstrations, tutorials, workshops and a doctoral consortium for PhD students.

AIME 07 is an inter-university effort: The local organization is chaired by Ameen Abu-Hanna from the University of Amsterdam who also chairs the Workshop and Tutorial Organization Committee. The Program Committee Chair is Riccardo Bellazzi from the University of Pavia in Italy who is responsible for the scientific program of the conference. The Doctoral Consortium Chair is Jim Hunter from the University of Aberdeen.

Amsterdam Amsterdam, the capital of the Netherlands, is one of the most colourful cities in the world! Where else do you find so many places of interest, famous museums, cozy pubs and 173 nationalities? It inhabits 750.000 people, 600.000 bicycles, and about 7000 buildings from the 16th, 17th and 18th century. The city is associated with water: from its 165 canals and 1281 bridges for its ships and its reclaimed land.
Klinische Informatiekunde UvA AIME 07 is hosted by The department of Medical Informatics which was founded in 1995 and currently employs about 30 people. It is a scientific department within the Academic Medical Center (AMC). The central research theme within the department is supporting, steering and evaluating patient care using methods and techniques native to the information sciences and other related disciplines. Through education it also prepares professionals in health informatics and promotes their intellectual growth.
UvA The University of Amsterdam (25.000 students, founded in 1632) is the larger of two universities in the city. The Academic Medical Center (AMC) of the University of Amsterdam is a merger between the Medical Faculty and a former university hospital. The AMC employs more than 6000 people and offers a medical doctor degree in Medicine, and BSc and MSc degrees in Medical Informatics. It is unique in Europe to offer a Medical Informatics program from within the Faculty of Medicine.
Rode Hoed Conference Venue AIME 07 will be held in “De Rode Hoed” (The Red Hat) which is located in a beautiful historic building in the centre of Amsterdam. The main conference will take place in the big hall, a former clandestine church with a great ambiance. Additionally there are four smaller rooms (Keizerzaal, Kleine Zaal, Banning Zaal and Souterrain) which will be used for the tutorials, workshops, and the doctoral consortium which will take place prior to the main conference.
Panel Discussion
on Wednesday 11th of July 2007

The coming of Age of AI in Medicine
Moderator: Vimla Patel

Edward Shortliffe
(Arizona State University, Tempe, USA)

Mario Stefanelli
(University of Pavia, Pavia, Italy)

Peter Szolovits
(Massachusetts Institute of Technology,
Cambridge, MA, USA)

Michael Berthold
(University of Konstanz, Konstanz, Germany)

Vimla L. Patel
(Arizona State University, Tempe, USA)

 

 

Organisation

Local Organization Chair &
Workshop and Tutorial Committee Chair
Ameen Abu-Hanna
University of Amsterdam, The NetherlandsLocal Organization Committee
Niels Peek
Gita Guggenheim
Ellen Lustenhouwer-Werring
Winston Gary Tjon Sjoe Sjoe (Webmaster)Department of Medical Informatics
University of Amsterdam, The NetherlandsConference Secretariat (kik@amc.uva.nl)

Program Committee Chair
Riccardo Bellazzi
University of Pavia, ItalyDoctoral Consortium Chair
Jim Hunter
University of Aberdeen, UK

Programme Committee and Scientific Programs schedule

Ameen Abu-Hanna, The Netherlands (Local Chair)
Klaus-Peter Adlassnig, Austria
Steen Andreassen, Denemark
Pedro Barahona, Portugal
Robert Baud, Switzerland
Riccardo Bellazzi, Italy (Scientific Chair)
Petr Berka, Czech Republic
Isabelle Bichindaritz, USA
Paul de Clercq, The Netherlands
Enrico Coiera, Australia
Carlo Combi, Italy
Michel Dojat, Franse
Henrik Eriksson, Sweden
John Fox, UK
Catherine Garbay, France
Peter Haddawy, Thailand
Arie Hasman, The netherlands
Reinhold Haux, Germany
John Holmes, USA
Werner Horn, Austria
Jim Hunter, UK (Doctoral Consortium Chair)
Hidde de Jong, France
Elpida Keravnou, Cyprus
Pedro Larranaga, Spain
Nada Lavrac, Slovenia
Johan van der Lei, The Netherlands
Xiaohui Liu, UK
Peter Lucas, The Netherlands
Silvia Miksch, Austria
Stefania Montani, Italy
Mark Musen, USA
Niels Peek, The Netherlands
Mor Peleg, Israel
Christian Popow, Austria
Silvana Quaglini, Italy
Alan Rector, UK
Stephen Rees, Denmark
Rainer Schmidt, Germany
Brigitte Seroussi, France
Yuval Shahar, Israel
Basilio Sierra, Spain
Costas Spyropoulos, Grece
Mario Stefanelli, Italy
Paolo Terenziani, Italy
Samson Tu, USA
Frans Voorbraak, The Netherlands
Dongwen Wang, USA
Thomas Wetter, Germany
Blaz Zupan, Slovenia
Pierre Zweigenbaum, France
Sunday 8 July 2007
 9:30 17:30 Workshop 2: Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP-2007)
17:30 18:00 Gathering at main entrance for the Canal Trip
From 18:00 Welcome reception (Canal tour)
Boat tickets will be handed out from 17:45. The boat will leave at 18:00. Please be on time!
Monday 9 July 2007
 9:00  9:30 Opening
 9:30 10:30 Invited talk (Chair: Ameen Abu-Hanna)
The Fog of Data: Data Exploration in the Life Sciences, Michael Berthold
10:30 11:00 Break
11:00 12:40 Session I – Agent-based systems (Chair: Werner Horn)
A Human-Machine Cooperative Approach for Time Series Data Interpretation
Thomas Guyet, Catherine Garbay, Michel Dojat
MRF Agent Based Segmentation: Application to MRI Brain Scans
Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay
R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision Making Teams
Shizhuo Zhu, Joanna Abraham, Sharoda Paul, Madhu Reddy, John Yen, Mark Pfaff, Christopher DeFlitch
Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations
Marjorie McShane, Sergei Nirenburg, Stephen Beale, Bruce Jarrell, George Fantry
12:40 14:00 Lunch
14:00 16:05 Session II – Temporal Data Mining (Chair: Nada Lavrac)
An intelligent aide for interpreting a patient’s dialysis data set
Derek Sleeman, Nick Fluck, Elias Gyftodimos, Laura Moss, Gordon Christie
Temporal data mining with temporal constraints
Manuel Campos, Jose T. Palma, Roque Marin
A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease,
Maurice Prijs, Linda Peelen, Paul Bresser, Niels Peek
Using temporal context-specific independence information in the Exploratory Analysis of Disease Processes
Stefan Visscher, Peter Lucas, Ildiko Flesch, Karin Schurink
Discovery and integration of organ-failure episodes in mortality prediction
Tudor Toma, Ameen Abu-Hanna, Robert-Jan Bosman
16:05 16:30 Break
16:30 17:45 Session III – Machine learning and KDD (Chair: Blaz Zupan)
Contrast Set Mining for Distinguishing between Similar Diseases
Petra Kralj, Nada Lavrac, Dragan Gramberger, Antonija Krstacic
Multi-resolution image parameterization in stepwise diagnostics of coronary artery disease
Matjaz Kukar, Luka Sajn, Ciril Groselj, Jera Groselj
Classifying Alarms in Intensive Care – Analogy to Hypothesis Testing
Wiebke Sieben, Ursula Gather
19:00 21:30 Special poster presentations with buffet and wine (see Posters) (Chair: Silvia Miksch and Jim Hunter)
Tuesday 10 July 2007
 9:00 10:00 Invited talk (Chair: Riccardo Bellazzi)
Rationalism and Empiricism in Medical AI, Peter Szolovits
10:00 11:15 Session IV – Text Mining, Natural language processing and generation (Chair: John Holmes)
An Experiment in Automatic Classification of Pathological Reports
Janneke van der Zwaan, Erik Tjong Kim Sang, Maarten de RIjke
Literature Mining: Towards Better Understanding of Autism
Tanja Urbancic, Ingrid Petric, Bojan Cestnik, Marta Macedoni-Luksic
Automatic Generation of Textual Summaries from Neonatal Intensive Care Data
Francois Portet, Ehud Reiter, Jim Hunter, Somayajulu Sripada
11:15 11:45 Break
11:45 12:35 Session V – Ontologies (Chair: Michel Dojat)
Using Semantic Web Technologies for Knowledge-Driven Querying in Clinical Trials
Martin O’Connor, Ravi Shankar, Samson Tu, Csongor Nyulas, David Parrish, Mark Musen, Amar Das
Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus
Arash Shaban-Nejad, Volker Haarslev
12:35 14:00 Lunch
14:00 14:50 Session VI – Decision Support Systems (Chair: Steen Andreassen)
Adaptive Optimization of Hospital Resource Calendars
I.B. Vermeulen, S.M. Bohte, S.G. Elkhuizen, J.S. Lameris, P.J.M. Bakker, J.A. La Poutré
On the Behaviour of Information Measures for Test Selection
Danielle Sent, Linda C. Van der Gaag
14:50 15:40 Session VII – Applications of AI-based Image Processing (Chair: Catherine Garbay)
Segmentation Techniques for automatic region extraction: an application to aphasia rehabilitation
Maria Grazia Albanesi, Silvia Panzarasa, Barbara Cattani, Sara Dezza, Mario Maggi, Silvana Quaglini
A Pattern Recognition Approach to Diagnose Foot Plant Pathologies: From Segmentation to Classification
Marco Mora, Mary Carmen Jarur, Leopoldo Pavesi, Eduardo Achu, Horacio Drut
15:40 16:05 Break
16:05 17:45 Session VIII – Guidelines (Chair: Yuval Shahar)
Formalizing ‘Living Guidelines’ using LASSIE: A Multi-step Information Extraction Method
Katharina Kaiser, Silvia Miksch
The Role of Model Checking in Critiquing based on Clinical Guidelines
Perry Groot, Arjen Hommersom, Peter Lucas, Radu Serban, Annette ten Teije, Frank van Harmelen
Integrating Document-based and Knowledge-based Models for Clinical Guideline Analysis
Gersende Georg, Marc Cavazza
Document-Oriented Views of Guideline Knowledge Bases
Samson Tu, Shantha Condamoor, Tim Mather, Richard Hall, Neill Jones, Mark Musen
From 19:45 Conference dinner at the Schreierstoren
Wednesday 11 July 2007
 9:00 10:15 Session IX – Workflow Systems (Chair: Silvana Quaglini)
Querying clinical workflows by temporal similarity
Carlo Combi, Matteo Gozzi, Jose M. Juarez, Roque Marin, Barbara Oliboni
Testing Careflow Process Execution Conformance by Translating a Graphical Language to Computational Logic
Federico Chesani, Paola Mello, Marco Montali, Sergio Storari
Induction of Partial Orders to predict Patient Evolutions in Medicine
John A. Bohada, David Riaño, Francis Real
10:15 10:45 Break
10:45 12:15 Panel Discussion – The Coming of Age of AI in Medicine (Moderator: Vimla Patel)
12:15 13:00 Closing

Posters
Aside from the normal poster visits, there will also be parallel “poster tours” in which a group of people will gather at a pre specified time (say 19.30) and get a short tour of all the posters in that cluster. The tour consists of a sequence of presentations (one for each poster, about 1 minute!). The presentation will not be supported by audiovisual means (except for the poster itself) and without a microphone (because of the parallel nature of the tours). There will be at least 2 opportunities to take a tour of a certain cluster.
Machine Learning and Modelling approaches
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Nevin L. Zhang, Shihong Yuan, Tao Chen, Yi Wang
Interpreting Gene Expression Data by Searching for Enriched Gene Sets
Igor Trajkovski, Nada Lavrac
Variable Selection for Optimal Decision Making
Lacey Gunter, Ji Zhu, Susan Murphy
Supporting factors in descriptive analysis of brain ischaemia
Dragan Gamberger, Nada Lavrac
Knowledge Acquisition from a Medical Corpus : Use and Return on Experiences
Lina F. Soualmia, Badisse Dahamna
Machine learning techniques for decision support in anesthesia
Olivier Caelen, Gianluca Bontempi, Luc Barvais
Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring
François Portet, René Quiniou, Marie-Odile Cordier, Guy Carrault
Monitoring Human Resources of a Public Health-Care System through Intelligent Data Analysis and Visualization
Aleksander Pur, Marko Bohanec, Nada Lavrac, Bojan Cestnik, Marko Debeljak, Anton Gradisek
An Integrated IT System for Phenotypic and Genotypic Data Mining and Management
Angelo Nuzzo, Daniele Segagni, Giuseppe Milani, Cinzia Sala, Cristiana Larizza
Automatic retrieval of web pages with standards of ethics and trustworthiness within a medical portal: What a name page tells us
Arnaud Gaudinat, Natalia Grabar, Célia Boyer
A mixed data clustering algorithm to identify population patterns of cancer mortality in Hijuelas-Chile
Eileen Malo, Rodrigo Salas, Monica Catalan, Patricia Lopez
Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants
Steffen Leonhardt, Vojislav Kecman
Multi-level Clustering in Sarcoidosis: A Preliminary Study
V.L.J. Karthaus, H.H.L.M. Donkers, J.C. Grutters, H.J. van den Herik, J.M.M. van den Bosch
Co-operative agents in analysis and interpretation of intracerebral EEG activity: Application to epilepsy
Ndiaye Mamadou, Kinie Abel, Montois Jean-Jacques
A Novel Way of Incorporating Large-scale Knowledge into MRF Prior Model
Yang Chen, Wufan Chen, Pengcheng Shi, Yanqiu Feng, Qianjin Feng, Qingqi Wang, Zhiyong Huang
Predictive Modeling of fMRI Brain States using Functional Canonical Correlation Analysis
S. Ghebreab, A.W.M. Smeulder, and P. Adriaans
Ontologies and Text Mining
Anonymisation of Swedish Clinical Data
Dimitrios Kokkinakis, Anders Thurin
MetaCoDe: a Lightweight UMLS Mapping Tool
Thierry Delbecque, Pierre Zweigenbaum
Unsupervised Documents Categorization using New Threshold-Sensitive Weighting Technique
Frederic Ehrler, Patrick Ruch
Application of cross-language criteria for the automatic distinction of expert and non expert online health documents
Natalia Grabar, Sonia Krivine
Extracting Specific Medical Data Using Semantic Structures
Kerstin Denecke, Jochen Bernauer
Replacing SEP-Triplets in SNOMED CT using Tractable Description Logic Operators
Boontawee Suntisrivaraporn, Franz Baader, Stefan Schulz, Kent Spackman
Building an ontology of hypertension management
Olivier Steichen, Christel Daniel – Le Bozec, Marie-Christine Jaulent, Jean Charlet
Analyzing Differences in Operational Disease Definitions Using Ontological Modeling
Linda Peelen, Michel CA Klein, Stefan Schlobach, Nicolette F De Keizer, Niels Peek
Decision Support, Guidelines and Workflows
An Ontology-Driven Agent-Based Clinical Guideline Execution Engine
David Isern, David Sanchez, Antonio Moreno
Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm
Alexandre Aussem, Sergio Rodrigues de Morais, Marilys Corbex
Enhancing Automated Test Selection in Probabilistic Networks
Danielle Sent, Linda C. Van der Gaag
Content Collection for the Labelling of Health-related Web Content
Konstantinos Stamatakis, Vangelis Metsis, Vangelis Karkaletsis, Marek Ruzicka, Vojtech Svàtek, Enrique Amigò Cabrera, Matti Pöllä, Constantine Spyropoulos
Bayesian Network Decomposition for Modeling Breast Cancer Detection
Marina Velikova, Nivea de Carvalho Ferreira, Peter Lucas
A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams
Alexander Meijer
Computer-aided assessment of drug-induced lung disease plausibility
Brigitte Seroussi, Jacques Bouaud, Huguette Liote, Charles Mayaud
Maintaining Formal Models of Living Guidelines Efficiently
Andreas Seyfang, Begona Martinez-Salvador, Radu Serban, Jolanda Wittenberg, Silvia Miksch, Mar Marcos, Annette ten Teije, Kitty Rosenbrand
A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
Subramani Mani, Constantin Aliferis
Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems
Sajjad Hussain, Samina Raza Abidi, Syed Sibte Raza Abidi
Inference in the Promedas medical expert system
Bastian Wemmenhove, Joris Mooij, Wim Wiegerinck, Martijn Leisink, Bert Kappen, Jan Neijt
Computerised guidelines implementation: obtaining feedback for revision of guidelines, clinical data model and data flow
Silvia Panzarasa, Silvana Quaglini, Anna Cavallini, Simona Marcheselli, Mario Stefanelli, Giuseppe Micieli
Interacting Agents for the Risk Assessment of Allergies in Newborn Babies
Giorgio Leonardi, Silvana Quaglini, Mara de Amici, Mario Stefanelli, Gian Luigi Marseglia, Cristina Torre, Giorgio Ciprandi
Application Demonstration
ProCarSur: A system for dynamic prognostic reasoning in cardiac surgery
Niels Peek, Marion Verduijn, Winston Tjon Sjoe Sjoe, Peter J.M. Rosseel, Evert de Jonge, Bas A.J.M. de Mol

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>

Amsterdam, The Netherlands