AIH-CLRA2021: AI for Health: Closing the Loop from Research to Applications Gold Coast, Australia, October 25-26, 2021 |
Conference website | https://sites.google.com/view/aih-clra2021/home |
Submission link | https://easychair.org/conferences/?conf=aihclra2021 |
Submission deadline | August 22, 2021 |
AI for Health: Closing the Loop from Research to Applications (AIH-CLRA)
Workshop at IEEE EDOC 2021
25/26 October 2020
Organisations and industries of all disciplines are reaping the benefits of artificial intelligence and machine learning techniques to improve their decision-making process. The health industry, in particular, being a data-intensive field, has a lot of AI applications such as analysing Gene sequencing data or medical image for diagnostic decision making, analysing electronic health records for improving patient treatment process, and recommendation of personalised treatments based on heterogeneous data. Multitude of machine learning, and data mining methods are applied in this domain from statistical, regression and clustering to neural networks, and network science.
Healthcare data present a unique set of challenges, including high dimensionality, class imbalance, low numbers of samples, and limited interpretability. Healthcare data are captured in different formats, including numeric, textual reports, signals and images, and sourced from different systems and providers. Integrating and analysing such complex dataset to deliver a meaningful outcome to the end-user in a challenging task that requires a sound understanding of the domain knowledge coming from ontologies, annotation repositories, and domain experts. This requires close collaboration between researchers and end-users of AI applications. Moreover, trust and interpretability are crucial when bringing the research outcomes into practice.
This workshop aims to bring AI researchers and health industry domain experts together to present and discuss the latest research in AI for health, and the challenges and opportunities in translating AI research to shape the future of healthcare applications. It will attract healthcare practitioners who have access to interesting data sources and looking for expertise and methodologies to leverage AI techniques effectively. Special attention will be devoted to building end-user trust through interpretability and transparency of AI, ethics and novel technologies such as blockchain. All papers must be original and not simultaneously submitted to another journal or conference.
Workshop programme:
- Keynote
- Full paper presentations
- ‘Rapid fire’ poster presentation session
- Panel discussion
Submission Guidelines
The following paper categories are welcome:
- Full papers describing new contributions to the field of AI for Healthcare
- Short papers preliminary and ongoing research work with vision for the future of AI in healthcare for the ‘Rapid fire’ poster presentation session.
Please aim at 8-10 pages for paper session and 4 page short papers for Rapide fire session in the IEEE two-column style.(templates is available at https://www.ieee.org/conferences/publishing/templates.html).
Authors submit for the ‘rapid fire’ poster presentation session will be conducting 5-minute poster presentations back-to-back. They are timed exactly, and the speakers are moved at the end of their reserved time.
List of Topics
- Applications of artificial intelligence for health care
- Health informatics
- Data-driven precision medicine
- Semantic web for health analytics applications
- Software architectures for health data management and analytics
- Navigating ethics for AI in health
- Visual analytics for health data
- Blockchain in health care
- Using synthetic data for AI in health
Important Dates
Paper submission deadline: 16 August 2021 22 August 2021
Paper acceptance notification: 13 September 2021
Camera-ready paper due: 27 September 2021
Author registration: 27 September 2021
Workshop sessions: 25 or 26th October 2021
Committees
Workshop Chairs
- Dr Madhushi Bandara, University of Technology Sydney, Australia
- Associate Professor Daniel Catchpoole, University of Technology Sydney, Australia
- Professor Paul Kennedy, University of Technology Sydney, Australia
Program committee
- Dr Hongxu Chen, University of Technology Sydney, Australia
- Dr Damith Senanayake, University of Melbourne, Australia
- Dr Gihan Samarasinghe, Lumachain, Australia
Publication
AIH-CLRA2021 proceedings will be published in the conference proceedings by IEEE (second volume of the IEEE EDOC 2021 conference proceedings) that are distributed to participants. One author from each accepted submission is required to register as a delegate and present at the workshop.
Venue
The conference will be held in Gold Coast, Australia
Contact
All questions about submissions should be emailed to Dr. Madhushi Bandara (madhushi.bandara@uts.edu.au), University of Technology Sydney, Australia.