[CFP] 2026 Third workshop on Explainable Artificial Intelligence for the medical domain - EXPLIMED within IJCAI-ECAI 2026
Gabriella Casalino
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2026 Third Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED)
within IJCAI-ECAI 2026 – the 35th International Joint Conference on Artificial Intelligence
15–17 August 2026, Bremen (Germany)
https://sites.google.com/view/easi-explimed/explimed/scope-and-topics
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Artificial Intelligence (AI) has the potential to revolutionize medical care; however, concerns related to fairness, transparency, and trust remain critical. Explainable Artificial Intelligence (XAI) plays a key role in addressing these challenges by enhancing transparency, accountability, and trustworthiness in AI-driven healthcare systems. XAI provides understandable insights into clinical decision-making processes, enabling healthcare professionals to trust AI recommendations and empowering patients to actively participate in their care. Moreover, it helps mitigate ethical risks such as biased or discriminatory outcomes and supports the validation and integration of AI technologies into clinical workflows.
The goal of this workshop is to explore and present research contributions, methodologies, and case studies focused on the integration of XAI in the medical domain. The workshop provides a platform for researchers, practitioners, and policymakers to share advances aimed at improving transparency and trust in medical AI systems.
We warmly welcome submissions and encourage contributions that foster discussion, exchange of ideas, and collaboration within the community. The workshop is intended as an open forum for sharing ongoing research, innovative perspectives, and emerging directions in XAI for healthcare.
**** IMPORTANT DATES ****
- Paper submission deadline: May 8, 2026
- Notification of acceptance: June 8, 2026
- Camera-ready submission: June 22, 2026
- Early registration deadline: June 15, 2026
- Workshop date: August 15–17, 2026 (TBC)
**** SUBMISSIONS ****
We welcome both regular and short papers. Regular papers should be at least 10 pages and present mature research contributions. Short papers (5–9 pages) are suitable for preliminary results, proof-of-concept studies, or novel ideas.
**** ORGANIZING COMMITTEE ****
Gabriella Casalino, University of Bari, Italy
Giovanna Castellano, University of Bari, Italy
Katarzyna Kaczmarek-Majer, Polish Academy of Sciences, Poland
Gianluca Zaza, University of Bari, Italy
For more information, please visit the workshop website:
https://sites.google.com/view/easi-explimed/explimed/scope-and-topics
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Please note that this year EXPLIMED will be held in conjunction with the EASi (Explainable AI in Space) workshopThe EASi workshop focuses on the intersection between XAI and space-related applications, where AI is increasingly used in mission-critical tasks such as satellite operations, Earth observation, and autonomous decision-making. In such high-stakes environments, ensuring reliability, interpretability, and accountability is essential.
This joint initiative aims to promote interdisciplinary dialogue and advance XAI methods across diverse safety-critical domains.
EASi Workshop Organizers: Jakub Nalepa; Przemyslaw Biecek; Nicolas Longépé; Agata M. Wijata; Evridiki Ntagiou; Marek Kraft; Lukasz Tulczyjew; Krzysztof Kotowski