AIM and SCOPE
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The medical systems that the Governments operate to fulfill the healthcare requirements of the Society are always looking to offer higher quality at the lowest cost. It seems that the current systems are unsustainable as the rate of senior society members to the active employees is increasing and the curve of required medicine cost for the last 10 years of people’s life is more than the corresponding medical cost used for the rest of their life. The question is then whether we can ‘flatter’ or smoother the lifetime cost curve for the provided healthcare services.

This is a big challenge for AI as well as the always evolving digital technology. How can we be proactive rather than post-active in order to early detect, make diseases prognosis and give the right assistive medical support on time? Answer to this question can offer the exploitation of AI methods in combination with the sensor networks technology and the new technology devices like smart phones, tablets, digital TVs, web cameras and all the smart gadgets that appear in the market.

This one-day workshop aims at bringing together scholars and practitioners active in Artificial Intelligence driven Health Informatics, to present and discuss their research, share their knowledge and experiences, and discuss the current state of the art and the future improvements to advance the intelligent practice of Medicine over the Internet.


RELEVANT TOPICS
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Participants are invited to submit papers on all research and application aspects of Artificial Intelligence driven e-Health, including, but not limited to:

* Ubiquitous real-time assistive healthcare
* Ambient assisted living
* Wearable and/or unobtrusive smart healthcare systems
* Multi-Agent architectures for patient monitoring and early diagnosis
* Events recognition from medical data
* Fusion and interpretation of multimodal medical data and events
* Medical ontology modelling and evolution
* Semantically diagnosis modelling
* Reasoning with the uncertainty of medical data/knowledge
* Mining on medical data/knowledge
* Patient centric and evidence based decision support systems
* Serious games for disease diagnosis
* Intelligent visualisation of medical data
* Healthcare tele-robots services

Submissions reporting on case studies in a medical context are strongly invited, and should describe details, weaknesses and strength in sufficient depth.


PAPER SUBMISSION
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Participants are invited to submit papers of up to 5 pages in length, addressing the topics of the workshop. Papers must be edited in LaTeX using the LNCS format:

http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

and be submitted electronically as PDF files via EasyChair at:

https://www.easychair.org/conferences/?conf=aiamnetmed2014

Submissions reporting on case studies in a medical context are strongly invited, and should describe details, weaknesses and strength in sufficient depth.
Papers will be reviewed by at least three PC members, and accepted papers will be published in the workshop proceedings. Further information about paper submission will be made available at AI-AM / NetMed-2014 web page.