<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=utf-8">
</head>
<body bgcolor="#FFFFFF" text="#000066">
<br>
<div class="moz-forward-container">
<pre>** Apologies for cross-posting **
*******************************************************************
**<a class="moz-txt-link-rfc2396E" href="http://www.aisti.eu/worldcist15/index.php/workshops/pis"><http://www.aisti.eu/worldcist15/index.php/workshops/pis></a>*CFP:
Artificial Intelligence in Medicine (AIM@EPIA-2015)*
*Thematic track* of the 17th Portuguese Conference on Artificial
Intelligence (*EPIA 2015* )
Coimbra, Portugal, September 8-11, 2015.
<a class="moz-txt-link-freetext" href="http://epia2015.dei.uc.pt/artificial-intelligence-in-medicine/">http://epia2015.dei.uc.pt/artificial-intelligence-in-medicine/</a>
*******************************************************************
*IMPORTANT DATES*
Deadline for paper submission: March 23, 2015
Notification of paper acceptance: 27, April, 2015
Camera-ready papers due: 1, June, 2015
Conference dates: September 8-11, 2015
*IMPORTANT NEWS*
- LNAI Proceedings (springer)
- Special issue of the journal Artificial Intelligence and Medicine with
selected papers*
*INTRODUCTION*
Every day medicine is facing new challenges: new diseases, cost
reductions, new therapeutics, quick decisions and make more with less.
Artificial Intelligence (AI) can play an important role in the decision
making process, most concretely in the waythe data of the patients are
collected, treated, processed and presented as well to test and simulate
new treatments, scenarios and devices. The big question to be answered
is: How Artificial Intelligence can help to overcome these challenges
and provide new and efficient solutions to medicine?
Business Intelligence, Data Mining, Sensing, Pervasiveness, Ubiquity and
Intelligent Agents in Medicine, can contribute with new artifacts and
new knowledge for health professionals. The development of AI systems
has been one of the most ambitious and, not surprisingly, controversial
themes in medicine. Often, healthcare professionals are septic regarding
the use of these technologies, because they are afraid of losing their
jobs. However, this concern is not justified. AI no longer aims the
substitution of professionals by computer artefacts. AI aims to improve
the usability of programs for assisting physicians in figuring out what
is wrong with the patients and provide new solutions to help making
better decisions. AI systems are intended to support healthcare
practitioners in the normal course of their duties, assisting with tasks
that rely on the manipulation of data and knowledge. In particular,
these systems have for example the capacity to learn, leading to the
discovery of new phenomena and the creation of medical knowledge.
This track promotes a forum to discuss and present emergent themes, new
projects and ideas about how AI can contribute to the field of Medicine
and, most concretely, improve patient conditions. By bringing together
researchers from two distinct areas is expected to produce new
scientific and technical knowledge in a particular area as is medicine.
Information technology, in general, can help improving human health and
longevity. To achieve this goal innovative and intelligent software can
be deployed in order to improve medical research, disease prevention,
and healthcare service delivery.
The motto of this track is "artificial intelligence improves medicine"
and we are inviting the community to share this vision.
*TOPICS OF INTEREST*
Innovative and exciting works are welcome in areas including but not
limited to:
Medical methodologies, architectures, environments and systems.
•Agents for information retrieval;
•AI in Medical Education and Clinical Management;
•Wellbeing and lifestyle support;
•Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing
in Medicine;
•Methodological, philosophical, ethical, and social issues of AI in
Medicine;
•Pervasive Healthcare Environments;
•Software architectures.
Knowledge engineering and Decision Support Systems:
•AI-based clinical decision making and Clinical Decision Support Systems;
•Automated reasoning, Case-Based Reasoning or Reasoning with medical
knowledge;
•Business Intelligence in Health Care;
•Clinical Data Mining;
•Data Streaming;
•Diagnostic assistance;
•Expert, agent-based or knowledge-based systems;
•Medical knowledge engineering;
•Pervasive or Real-Time Intelligent Decision Support Systems in Critical
Health Care.
Medical Applications and Devices
•Computational intelligence in bio- and clinical medicine;
•Electronic Health Records (eHealth);
•Image recognition and interpretation;
•Intelligent devices and instruments;
•Sensor-based applications;
•Telemedicine and mHealth solutions;
•Ubiquitous devices in the storage, update, and transmission of patient
data;
•Usability and acceptability.
AI in Healthcare Information Systems
•Autonomous systems to support independent living;
•Healthcare System Based on Cloud Computing;
•Intelligent Healthcare information systems;
•Pervasive Information Systems;
•Pervasiveness and Security in Clinical Systems;
•Smart homes, hospitals and Intelligent Systems;
•Simulation Computer systems.
**
*PAPER SUBMISSION*
All papers should be submitted in PDF format through EPIA’2015
submission Website. Submissions must be original and can be of two
types: regular (full-length) papers should not exceed twelve (12) pages
in length, whereas short papers should not exceed six (6) pages. Each
submission will be peer reviewed by at least three members of the
Program Committee. The reviewing process is double blind. All the
accepted papers will appear in the proceedings published by Springer in
the LNAI series (previous EPIA proceedings were indexed by the Thomson
ISI Web of Knowledge, Scopus, DBLP and ACM digital library).
*Authors of the best papers presented at the AIM track of EPIA will be
invited to submit extended versions of their manuscripts for a special
issue of the “Artificial Intelligence in Medicine”, indexed at ISI Web
of Knowledge (ISI impact factor JCR2013 of 1.356):
<a class="moz-txt-link-freetext" href="http://www.aiimjournal.com/">http://www.aiimjournal.com/</a>. Artificial Intelligence and Medicine
publishes original articles from a wide variety of interdisciplinary
perspectives concerning the theory and practice of artificial
intelligence (AI) in medicine and health care.
*ORGANIZING COMMITTEE*
* Manuel Filipe Santos, University of Minho, Portugal
* Carlos Filipe Portela, University of Minho, Portugal
</pre>
<br>
</div>
<br>
</body>
</html>