Written by Mor Peleg
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 Artificial Intelligence (AI) techniques to
medical care and medical research, and
2. to provide a forum for reporting significant results achieved
at biennial conferences.
A major activity of this society has
been a series of international conferences, from Marseille (FR) in 1987 to
Verona (IT) in 2009, held biennially over the last 22 years. The AIME'2011
conference will be a unique opportunity to present and improve the
international state of the art of AI in Medicine from perspectives of theory,
methodology, and application.
For this purpose, AIME'2011 will
include invited lectures, full and short papers, tutorials, workshops, and a
doctoral consortium. The main conference will include a session dedicated to
application of AI methods in the day-to-day practice of health care.
The conference will be held in Bled,
Slovenia.
Day 1 (Saturday, July 2): Doctoral
consortium and tutorial(s)
Day 2-4 (July 3,4,5):
main AIME conference
Day 5 (Wednesday, July 6): workshops
Manfred Reichert, Institute of Databases and Information
Systems, University of Ulm, Germany
Andrey
Rzhetsky, Department of Human Genetics, University of Chicago, Illinois,
USA
Original contributions are sought
regarding the development of theory, techniques, and applications of AI in BioMedicine, including the exploitation of AI approaches to
medical informatics, healthcare organizational aspects, and to molecular
medicine.
Contributions to theory may include presentation or analysis of the properties
of novel AI methodologies potentially useful to solve medical problems.
Papers on techniques and methodologies should describe the development or the
extension of AI methods and their implementation, and discuss the assumptions
and limitations of the proposed methods and their novelty with respect to the
state of the art.
Papers addressing systems should describe the requirements, design and
implementation of new AI-inspired tools and systems, and discuss their
applicability in the medical field.
Application papers should describe the implementation of AI systems to solve
significant medical problems, and should present sufficient information to
allow evaluation of the practical benefits of the system.
The scope of the conference includes
the following areas:
·
Knowledge
Acquisition and Management
·
Machine
Learning, Knowledge Discovery and Data Mining
·
Biomedical
Ontologies and Terminologies
·
Decision
Support Systems
·
Neural
Networks and Belief Networks
·
Reasoning
under Uncertainty
·
Temporal
and Spatial Representation and Reasoning
·
Case-Based
Reasoning
·
Planning
and Scheduling
·
Protocols
and Guidelines
·
Information
Retrieval
·
Natural
Language Generation and Understanding
·
Biomedical
Computer Vision, Imaging, and Signal Interpretation
·
Intelligent
Agents
·
Telemedicine
and Cooperative Systems
·
Cognitive
Modeling
·
Healthcare
Process Management