The goal of EXPLIMED is to bring together researchers and practitioners working on Explainable Artificial Intelligence (XAI) for healthcare and medical applications. The workshop aims to foster discussion on transparent, trustworthy, and human-centered AI methods for clinical decision support, medical data analysis, and healthcare practice.
We warmly welcome submissions presenting methodologies, applications, case studies, preliminary findings, and emerging perspectives related to XAI in the medical domain.
**** IMPORTANT DATES ****
Preliminary title/authors/abstract submission: May 11, 2026
Full paper submission deadline (extended, strict): May 15, 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.
To facilitate the organization of the review process, authors are kindly requested to submit the paper title, author list, and a preliminary abstract draft by May 11, 2026, even if the full paper will be submitted later.
**** PUBLICATION ****
Accepted papers will be published in CEUR Workshop Proceedings (Open Access, CC-BY 4.0).
**** 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
Please note that this year EXPLIMED will be held in conjunction with the EASi (Explainable AI in Space) workshop.
EASi focuses on XAI methods for space and mission-critical applications, including satellite operations, Earth observation, autonomous systems, and space safety. In addition, EASi 2026 will host the Space Debris Challenge, dedicated to AI and XAI methods for monitoring, detecting, and analyzing space debris and related risks in orbital environments. https://sites.google.com/view/easi-explimed/easi/ai-competition
EASi Workshop Organizers: Jakub Nalepa; Przemyslaw Biecek; Nicolas Longépé; Agata M. Wijata; Evridiki Ntagiou; Marek Kraft; Lukasz Tulczyjew; Krzysztof Kotowski
We look forward to your submissions and to welcoming you to EXPLIMED 2026 in Bremen.