AITH 2018: 2018 Symposium on Artificial Intelligence in Technologies for Health |
Website | http://matt.qa/aith/ |
Submission link | https://easychair.org/conferences/?conf=aith2018 |
Submission deadline | January 19, 2018 |
This full day symposium showcases innovative Artificial Intelligence research that focuses on promoting access, improving efficiency and enhancing quality within healthcare. There is a clear potential for Artificial Intelligence to improve healthcare services. This symposium aims to connect the current research in AI with the needs of patients, healthcare workers and manufacturers to promote research that is both practical and innovative.
It builds on six previous workshops presented at UMAP 2015, UM 2005, UM 2007, 21st IEEE CBMS (2008), AIME 2009 and EHealth 2010.
Submission Guidelines
We solicit submissions of long papers (up to 8 pages + refs), short papers (up to 4 pages + refs) and position papers (up to 2 pages + refs) from diverse backgrounds, with the aim of promoting the exchange of ideas between researchers working in the above-mentioned areas. We welcome submissions from multidisciplinary perspectives, as well as PhD students or those new to the field.
For full details on the submission format and procedure, please refer to the Submission Instructions page at http://matt.qa/aith/#submission. Papers will be selected based on originality, quality, and ability to promote discussion.
Important Dates
- Paper Submission: 14 January 2018
- Paper Notification: 12 February 2018
- Camera-ready submission: 5 March 2018
- Symposium: 4-6 April 2018
List of Topics
Themes include, but are not limited to:
- Intelligent adaptation and personalisation in e-Health information systems
- Tailored health education and advice (written and online)
- Adaptation in automated health advice
- Personalised assistance, including for special citizens (e.g. disabled, elderly)
- AI in chronic care
- Applications of AI using wearable devices
- Health monitoring systems utilising AI technologies
- Novel AI approaches to facilitate improved communication between healthcare professionals and patients
- Privacy and other ethical issues for AI in Healthcare
- Decision support systems (for patients and practitioners)
- AI applications of models of user learning, knowledge, attitude and behaviour change (including compliance)
- Intelligent tailored behaviour change interventions to promote healthy living (e.g. diet, exercise).
- Ontologies for user models (including provenance) for tailored health care delivery
- Methods for evaluating user satisfaction with personalised ehealth AI systems (weblog analysis, tracking users, quantitative and qualitative methods)
- Reports on evaluation studies of AI eHealth systems.
- Smart Healthcare (“Internet of Things”) systems
- Tailored emotional support for patients, healthcare professionals and carers.
- Mediated communication of health data to patients and healthcare professionals
- Personalisation in online support for health and wellbeing
- Using AI in technology to support medical procedures
- Healthcare systems that adapt intelligently to physiological and environmental cues
- Virtual agents and ‘chatbots’ in healthcare systems
- Analytics of health data using AI
- Other innovative applications of AI theory in Healthcare
Committees
Program Committee
- Floriana Grasso
- Judith Masthoff
- Tom Nadarzynski
- Sara Rubinelli
- JP Vargheese
Organizing committee
- Dr Matt Dennis, Lecturer in Web Technologies, University of Portsmouth
- Dr Kirsten A. Smith, Research Fellow, Psychology, University of Southampton
- Rosemary J. Thomas, Research Associate, Computing Science, University of Aberdeen
Publication
All accepted papers of AITH 2018 will be published in the AISB proceedings.
Venue
The conference will be held in conjunction with the 2018 Convention on Artificial Intelligence and Simulation of Behaviour (AISB 2018), Liverpool, UK, 4th-6th April 2018
Contact
All questions about submissions should be emailed to kirsten.smith@soton.ac.uk.