The submission deadline for EPIA 2017 is coming.    We ask you to help spread the word on the conference, and the AIM track in particular, among your colleagues and distribution lists.    Please find below the CFP.    Thank you!  AIM@EPIA 2017  https://web.fe.up.pt/~epia2017/thematic-tracks/aim/    ======================================================================  CFP: Artificial Intelligence in Medicine (AIM@EPIA-2017)  Thematic track of the 18th Portuguese Conference on Artificial Intelligence (EPIA 2017)  Porto, Portugal, September 5-8, 2017.   Webpage: https://web.fe.up.pt/~epia2017/thematic-tracks/aim/  ======================================================================    IMPORTANT DATES  Paper submission deadline: April 15, 2017  Notification of paper acceptance: May 31, 2017  Camera-ready papers deadline: June 15, 2017  Conference dates: September 5-8, 2017    IMPORTANT NEWS  - LNCS/LNAI Proceedings (Springer)  - Special issue of the journal Medical Systems 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 way the 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 artifacts. 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 discov!   ery 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’2017 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. The best 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). The remaining accepted papers will be published in the local proceedings with ISBN.    *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 in Journal of Medical Systems (Springer)    ORGANIZING COMMITTEE  * Manuel Filipe Santos, University of Minho, Portugal (contact person) mfs@dsi.uminho.pt  * Carlos Filipe Portela, University of Minho, Portugal cfp@dsi.uminho.pt  * Allan Tucker, Brunel University London, Uk, allan.tucker@brunel.ac.uk