Connectionists: CFP, 16th Conference on Artificial Intelligence in Medicine (AIME 2017)

[Georg Dorffner]

*AIME 2017 16th Conference on Artificial Intelligence in Medicine*
*Vienna, Austria June 21-24, 2017*

AIME17 <http://aime17.aimedicine.info/> 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.  We are happy 
to announce our keynote speakers 
<http://aime17.aimedicine.info/#program>: Stefan Schulz (University 
Graz)  and Kenneth Barker  (T. J. Watson Research Center IBM).


Call for 
papers<http://aime17.aimedicine.info/call-for-papers-submission.html#cfp>

*Important dates*:

  * Abstracts Submission Deadline: January 15, 2017
  * Paper Submission: February 1, 2017
  * Notification of Acceptance: March 13, 2017
  * Final Camera Ready Copy: April 5, 2017



Call for workshop 
<http://www.aimedicine.info/aime17/images/PDF/AIME-2017-workshop-proposals-Call.pdf> & 
Call for tutorial 
<http://www.aimedicine.info/aime17/images/PDF/AIME17-tutorial-proposal.pdf>

*Important dates:*

  * Proposal for Workshops:February 6, 2017
  * Notification of Workshop/Tutorials: February 13, 2017



Call for PhD 
consortium<http://aime17.aimedicine.info/aime-2017-doctoral-consortium.html>

*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:

  * Big Data Analytics in medical domain
  * Biomedical Knowledge Acquisition and Knowledge Management
  * Clinical Decision Support Systems
  * AI methods in Telemedicine and eHealth
  * Behavior Medicine
  * Patient Engagement Support (Personal Health Record)
  * Machine Learning, Knowledge Discovery and Data Mining
  * Case-based Reasoning in Biomedicine
  * Biomedical Ontologies and Terminologies
  * Document Classification and Information Retrieval
  * Bayesian Networks and Reasoning Under Uncertainty
  * Biomedical Imaging and Signal Processing
  * Temporal and Spatial Representation and Reasoning
  * Visual Analytics in Biomedicine
  * Computerized Clinical Practice Guidelines and Protocols
  * Natural Language Processing
  * Fuzzy Logic
  * Healthcare Process and Workflow Management
  * AI solutions for Ambient Assisted Living

We are grateful for the commitment of the experts in the Program 
Committee <http://aime17.aimedicine.info/#organization>.

Kind regards,

The AIME’17 organising team




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