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XAI-Healthcare 2023 : XAI-Healthcare 2023 : eXplainable Artificial Intelligence in Healthcare workshop | |||||||||||||||
Link: https://www.um.es/medailab/events/XAI-Healthcare/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Third International Workshop on eXplainable Artificial Intelligence in Healthcare
1-day workshop June 15, 2023 in conjunction with AIME 2023, Portoroz, Slovenia The purpose of XAI-Healthcare 2023 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. Scope 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. TOPICS: Explanation Approaches: Model agnostic methods Feature analysis Visualization approaches Example and counterfactuals based explanations Fairness, accountability and trust Evaluating XAI Fairness and bias auditing Human-AI interaction Human-Computer Interaction (HCI) for XAI Natural Language Processing (NLP) Explainability AI techniques: Blackbox ML approaches: DL, random forest, etc. Interpretable ML models: Rules, Trees, Bayesian networks, etc. Statistical models and reasoning Case-based reasoning Natural language processing and generation Abductive Reasoninng Target healthcare problems: Infection challenges (COVID, Antibiotic Resistance, etc.) Trustworthy AI Chronic diseases Ageing & home care Diagnostic systems Submissions Papers should be submitted to the XAI-Healthcare Easy Chair Website at SUBMIT LINK . Papers should be formatted according to Springer Lecture Notes Format , either for LaTeX or for Word. Springer's proceedings LaTeX templates are available in Overleaf (overleaf template). The workshop features regular papers in two categories: short papers (up to 5 pages) describing work-in-progress and full papers (up to 10 pages) describing original and solid results. We are aiming at providing arXiv open-access proceedings, gathering all papers presented at the workshop. Furthermore, we are also considering a proposal of a special issue of a journal like Journal of Healthcare Informatics Research (JHIR) or a similar specialized journal. Workshop Organisers Concha Bielza, Dept. of Artificial Intelligence, Universidad Politecnica de Madrid Pedro Larrañaga, Dept. of Artificial Intelligence, Universidad Politecnica de Madrid Primoz Kocbek, Faculty of Health Sciences, University of Maribor Jose M. Juarez, Faculty of Computer Science, University of Murcia Gregor Stiglic, Faculty of Health Sciences, University of Maribor Alfredo Vellido, Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) and UPC BarcelonaTech Activities & Program 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. 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. |
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