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XAI-Healthcare 2023 : XAI-Healthcare 2023 : eXplainable Artificial Intelligence in Healthcare workshop


When Jun 15, 2023 - Jun 15, 2023
Where Portoroz, Slovenia
Submission Deadline Apr 24, 2023
Notification Due May 11, 2023
Final Version Due May 15, 2023
Categories    explainable artificial intelli   artificial intelligence   healthcare

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.

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 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


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 LarraƱaga, 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.

Related Resources

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xAI ST Actionable XAI 2024   xAI World Conference Special Track on Actionable Explainable AI
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IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
IEEE ICA 2022   The 6th IEEE International Conference on Agents
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