Call for 16th Conf. on AI in Medicine (AIME 2017)

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