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. 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 Kind regards, The AIME’17 organising team
