[CFP] 2025 Second workshop on Explainable Artificial Intelligence for the medical domain - EXPLIMED within ECAI 2025

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2025 Second workshop on Explainable Artificial Intelligence for the medical domain - EXPLIMED
within the 28TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2025)


25-30 OCTOBER 2025 Bologna (Italy)
https://sites.google.com/view/explimed-2025/home-page
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AI has the potential to revolutionize medical care, but there are concerns about fairness and transparency. Explainable AI (XAI) is necessary to enhance transparency, accountability, and trustworthiness in medical AI systems. XAI provides understandable insights into AI-powered clinical decision-making, enabling healthcare professionals to trust recommendations and empowering patients to participate actively in their healthcare decisions. By addressing ethical concerns related to biased or discriminatory outcomes, XAI ensures fair and equitable healthcare practices. Finally, XAI aids in the validation process, offering insights into model predictions and facilitating the integration of AI technologies into clinical workflows.
This workshop aims to explore and exhibit research, methodologies, and case studies that focus on the integration of Explainable Artificial Intelligence (XAI) in the medical domain. It will provide a platform for researchers, practitioners, and policymakers to share their insights and advancements in XAI. The purpose is to improve transparency and trust in medical AI systems. The workshop aims to highlight the importance of XAI in medical decision-making, share innovative approaches and technologies that enhance interpretability in medical AI, and discuss regulatory implications and compliance strategies for incorporating XAI in healthcare AI applications.
Possible topics related to application in the healthcare domain include (but are not limited to):

- eXplainable Artificial Intelligence
- Post-hoc methods for explainability
- Ante-hoc methods for explainability
- Rule-based XAI systems
- Uncertainty modeling
- XAI methods for neuroimaging and neural signals
- Case-based explanations for AI systems
- Fuzzy systems for explainability
- Interpreting and explaining neural networks
- Model-specific vs model-agnostic methods
- Transparent and explainable learning methods
- Interpretable representational learning
- Causal inference and explanations
- Bayesian modeling for interpretability


**** IMPORTANT DATES ****

Abstract submission deadline: May 10, 2025
Paper submission deadline: May 21, 2025
Notification of acceptance: July 21 2025
Final paper submission: September 12, 2025
Early registration deadline: TBA
Workshop date: 25-26 October, 2025

**** SUBMISSIONS ****

Please ensure submissions follow the CEUR style guidelines, utilizing a one-column layout. Accepted paper formats include regular papers (10-20 pages) and short papers (5-9 pages) such as work-in-progress or position papers. Note: Both formats, if accepted, will be part of the workshop proceedings and must be written in English. Papers should be submitted in PDF format through the submission system (https://sites.google.com/view/explimed-2025/authors-guidelines/submissions). We encourage authors to use the LaTeX template and to include ORCIDs in their submissions.
The workshop will be held in person. Each accepted paper will be assigned either an oral or a poster presentation. In case of a high number of submissions, some papers may be allocated as posters instead of oral presentations.

**** PUBLICATIONS ****
All papers submitted to the EXPLIMED workshop will undergo a double-blind review by independent reviewers. They will be published in the CEUR Workshop Proceedings under a CC-BY 4.0 license (http://ceur-ws.org/) upon acceptance. CEUR-WS proceedings are typically indexed in Scopus.
**** REGISTRATION ****

Please refer to the conference website: https://ecai2025.org/
**** KEYNOTE SPEAKER****

Alberto Fernández Hilario, Full Professor of Computer Science and Artificial Intelligence, University of Granada

**** ORGANIZING COMMITTEE ****

Gabriella Casalino, University of Bari, Italy
Giovanna Castellano, University of Bari, Italy
Katarzyna Kaczmarek-Majer, Polish Academy of Sciences, Poland
Raffaele Scaringi, University of Bari, Italy
Gianluca Zaza, University of Bari, Italy


**** CONTACTS ****
Any inquiries can be directed to gianluca.zaza@uniba.it and raffaele.scaringi@uniba.it