The purpose of XAI-Healthcare event is to provide a place for intensive discussion on all aspects of eXplainable Artificial Intelligence (XAI) in the medical and healthcare field. This should result in cross-fertilization among research on Machine Learning, Decision Support Systems, Natural Language, Human-Computer Interaction, and Healthcare sciences. This meeting will also provide attendees with an opportunity to learn more on the progress of XAI in healthcare and to share their own perspectives. The panel discussion will provide participants with the insights on current developments and challenges from the researchers working in this fast-developing field.

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SCOPE
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We expect the contributions received to describe explanation methods, AI techniques and a targeted healthcare problem. Some examples are provided below for guidance, but the list of topics is not limited to these specific methods, techniques and problems.

Explanation Approaches:

•Model agnostic methods
•Feature analysis
•Visualization approaches
•Example-based Explat.
•Fairness, accountability and trust
•Evaluating XAI
•Fairness and bias auditing
•Human-AI interaction
•Human-Computer Interaction (HCI) for XAI

AI techniques:

•Blackbox ML approaches: DL, random forest, etc.
•Interpretable ML models: Rules, Trees, etc.
•Statistical methods
•Case-based reasoning
•Natural Language proc. and generation.
•Target healthcare problems:
•Infection challenges (COVID, Antibiotic Resistance, etc.)
•Chronic diseases
•Ageing & home care

Target healthcare problems:

•Infection challenges (COVID, Antibiotic Resistance, etc.)
•Chronic diseases
•Ageing & home care


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SUBMISSIONS
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Papers should be submitted to the XAI-Healthcare Easy Chair Website at https://easychair.org/conferences/?conf=xaihealthcare2021 Papers should be formatted according to Springer LNCS format (see http://www.springer.de/comp/lncs/authors.html).

The workshop features regular papers in a single category: short papers (up to 5 pages) describing either original research projects or work-in-progress.

All accepted papers will appear in the conference proceedings which will be published in arXiv after the papers are presented.

Best papers presented will be invited to extend their manuscript for possible publication in the Special Issue on XAI at the Journal of Artificial Intelligence in Medicine(impact factor 4.3)

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ORGANISERS
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Jose M. Juarez, Faculty of Computer Science, University of Murcia [contact]
Gregor Stiglic, Faculty of Health Sciences, University of Maribor [contact]
Huang Zhengxing, Faculty of Biomedical Engineering, Zhejiang University[contact]
Katrien Verbert, Faculty of Engineering Science, KU Leuven[contact]

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ONLINE ACTIVITIES & PROGRAM
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This workshop will be entirely a life online event (no pre-recorded talks) using ZOOM platform.

XAI-Healthcare will include paper presentations and invited talks related to the workshop topics listed above. All submitted papers will be subject to a review by the workshop Program Committee (tentative list provided below). Based on the number of high-quality submissions we will define the length of the presentations that will be followed by time for questions and discussion from the audience.

We plan to invite an expert researcher in the XAI field to give a keynote talk as well as a panel discussion together with the organisers and the attendees.