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AIME 2017 16th Conference on Artificial Intelligence in Medicine

Vienna, Austria June 21-24, 2017 

AIME17 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.  

Call for papers

Important dates:

·

Abstracts Submission Deadline: January 15, 2017

·

Paper Submission: February 1, 2017 

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Notification of Acceptance: March 13, 2017

·

Final Camera Ready Copy: April 5, 2017 

Call for workshop & Call for tutorial

Important dates:

·

Proposal for Workshops: February 6, 2017

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Notification of Workshop/Tutorials: February 13, 2017

Call for PhD consortium

Important dates: 

·

Paper Submission: March 13, 2017

·

Notification of Acceptance:  April 21, 2017

·

Final Camera Ready Copy: May 14, 2017

Scope of AIME:

Contributions to theory and methods should present or analyze novel AI theories or methodologies for solving problems in the biomedical field. It is equally possible to present new theories and methods or extensions of existing ones. In both cases, the work should demonstrate its utility for solving biomedical problems and highlight its contribution to the underlying theoretical basis. In addition, assumptions and limitations should be discussed, and novelty with respect to the state of the art.

Contributions addressing systems and applications should describe the development, implementation or evaluation of innovative, AI-based tools and systems in the biomedical application domain. These papers should both link the work to underlying theory, and either analyse the potential benefits to solve biomedical problems or present empirical evidence of benefits in clinical practice.

The scope of the conference includes the following areas:

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Big Data Analytics in medical domain

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Biomedical Knowledge Acquisition and Knowledge Management

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Clinical Decision Support Systems

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AI methods in Telemedicine and eHealth

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Behavior Medicine

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Patient Engagement Support (Personal Health Record)

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Machine Learning, Knowledge Discovery and Data Mining

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Case-based Reasoning in Biomedicine

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Biomedical Ontologies and Terminologies

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Document Classification and Information Retrieval

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Bayesian Networks and Reasoning Under Uncertainty

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Biomedical Imaging and Signal Processing

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Temporal and Spatial Representation and Reasoning

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Visual Analytics in Biomedicine

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Computerized Clinical Practice Guidelines and Protocols

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Natural Language Processing

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Fuzzy Logic

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Healthcare Process and Workflow Management

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AI solutions for Ambient Assisted Living
 

Kind regards, 

The AIME’17 organising team