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HC@AIXIA 2026 : [CFP] HC@AIxIA 2026 (AIxIA 2026)

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Link: https://sites.google.com/unical.it/hcaixia2026
 
When Oct 6, 2026 - Oct 9, 2026
Where Perugia, Italy
Abstract Registration Due Jul 31, 2026
Submission Deadline Aug 4, 2026
Notification Due Aug 27, 2026
Final Version Due Sep 16, 2026
Categories    health   artificial intelligence   medicine   AI
 

Call For Papers

Please circulate within your networks. Apologies for multiple postings.


🆕 DEADLINE EXTENDED 🆕
New submission deadline: August 4, 2026, Anywhere on Earth (AoE)

Submit here: https://chairingtool.com/conferences/aixia2026/main-track?role=author
🆕 DEADLINE EXTENDED 🆕


================================================================================
CALL FOR PAPERS - DEADLINE EXTENDED
================================================================================

5th International AIxIA Workshop on Artificial Intelligence for Healthcare
HC@AIxIA 2026

Perugia, Italy, October 6-9, 2026
https://sites.google.com/unical.it/hcaixia2026/

Co-located with the 24th International Conference of the Italian Association
for Artificial Intelligence (AIxIA 2026)
https://aixia2026.unipg.it/

================================================================================


== IMPORTANT UPDATE ==

The previously separate abstract and paper submission deadlines have been merged into a single submission deadline.

Authors may register and submit their contributions until August 4, 2026, Anywhere on Earth (AoE).


== INFORMATION ==

In a rapidly evolving world where AI is increasingly embedded in critical sectors, healthcare stands out as one of the domains where Artificial Intelligence can have the greatest scientific, technological, clinical, and societal impact. AI-based solutions are increasingly affecting medical research, clinical practice, healthcare management, public health, and patient-centered care.

The HC@AIxIA workshop provides a forum for exploring the application of Artificial Intelligence to healthcare in its broadest sense. It aims to bring together researchers and practitioners from academia, industry, medical centers, public-health institutions, and related communities, fostering interdisciplinary collaboration between AI researchers, health informaticians, clinicians, biomedical researchers, healthcare professionals, and stakeholders involved in the design, deployment, evaluation, and governance of AI-based healthcare systems.

Healthcare and medicine require complex decision-making processes involving diagnosis, treatment selection, treatment planning, monitoring, prognosis, prevention, and long-term care. Addressing these challenges requires methods from the whole spectrum of AI, including machine learning, knowledge representation and reasoning, planning, natural language processing, probabilistic and causal models, optimization, human-centered AI, and decision-support systems.

At the same time, healthcare is grounded in a rich and evolving body of domain knowledge, including clinical guidelines, medical vocabularies, biomedical ontologies, temporal and spatial patterns, pathophysiological knowledge, molecular and genetic characterizations, and organizational constraints. Such knowledge can play a key role in developing AI systems that are accurate, reliable, explainable, trustworthy, clinically meaningful, and effectively usable in real-world healthcare settings.

After the 2025 joint edition with HYDRA, co-located with ECAI 2025, HC@AIxIA 2026 returns as a focused workshop of the HC@AIxIA series, co-located with the annual AIxIA conference, while preserving the interdisciplinary and methodological breadth developed in previous editions.


== CALL FOR PAPERS ==

The workshop welcomes original research contributions, summaries of recent work, and work-in-progress studies on frameworks, applications, methodologies, tools, and systems concerning the use and impact of Artificial Intelligence in healthcare.

Submissions are welcome from a wide multidisciplinary spectrum of researchers and practitioners, including computer scientists, AI researchers, health informaticians, clinicians, biomedical researchers, public-health experts, epidemiologists, healthcare professionals, medical institutions, public-health agencies, industry, startups, and other stakeholders interested in AI-based solutions for healthcare.

Collaborations across disciplines are especially encouraged, as they can help bridge the gap between AI methods and real-world healthcare needs, supporting the development of actionable, trustworthy, and clinically meaningful AI-driven solutions.

Possible topics of interest are, but are NOT limited to:

* Machine learning, data mining, and statistical methods for clinical decision support
* Knowledge representation, reasoning, and formal argumentation in healthcare
* Hybrid, neuro-symbolic, and knowledge-enhanced AI for healthcare
* Explainable, transparent, accountable, and trustworthy AI in healthcare
* Large language models, generative AI, and foundation models for healthcare
* Natural language processing for clinical texts, electronic health records, and biomedical literature
* Medical imaging, signal processing, and multimodal AI in healthcare
* Probabilistic graphical models for clinical decision-making
* Causal models, causal discovery, and causal reasoning in healthcare
* Learning, representation, and reasoning with time
* Methods for diagnosis, treatment selection, treatment planning, and prognosis
* Monitoring patients in healthcare
* Personalized medicine and patient-centered decision support
* Computer-interpretable clinical guidelines and clinical pathways
* Ontologies, medical vocabularies, knowledge graphs, and semantic technologies
* Privacy-preserving, federated, and distributed AI for healthcare
* Fairness, bias, robustness, safety, and reliability of medical AI systems
* Human-centered AI, usability, clinical adoption, and interaction with healthcare professionals
* AI for public health, epidemiology, surveillance, and prevention
* Ethical, legal, social, and regulatory aspects of medical AI
* Evaluation methodologies, benchmarks, reproducibility, and validation of AI systems in healthcare
* Tools for supporting authoring, execution, and maintenance of clinical protocols and guidelines
* Tools for building, deploying, and monitoring clinical decision-support systems
* Real-world case studies, lessons learned, and deployed AI systems in healthcare


== SUBMISSION GUIDELINES AND TYPES OF SUBMISSIONS ==

Authors are invited to register their contributions and submit their manuscripts in PDF via the submission system here:

https://chairingtool.com/conferences/aixia2026/main-track?role=author

There is no separate abstract submission deadline. The contribution registration, including its title, authors, and abstract, and the manuscript upload must be completed by August 4, 2026, Anywhere on Earth (AoE).

The workshop welcomes both full papers, possibly already submitted to other conferences or journals, and short papers, which are suggested for presenting work in progress, extended abstracts, software prototypes, doctoral research, or general overviews of research projects. The workshop also welcomes position and discussion papers.

The following types of submissions are invited:

* Full papers: mature original research contributions.
* Short papers: work in progress, preliminary results, extended abstracts, doctoral research, software prototypes, or focused contributions.
* System and prototype descriptions: research or industrial systems, prototypes, tools, platforms, and demonstrators.
* Position and discussion papers: visionary contributions, open challenges, methodological reflections, or critical analyses.
* Non-original communications: papers already submitted, accepted, or published in other conferences or journals, suitable for dissemination within the HC@AIxIA community and for opening discussion.

All submissions must be in PDF format, written in English, and formatted according to the LNCS format:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

As a preliminary indication, the following page limits apply:

* Full papers should not exceed 15 pages, including bibliography.
* Short, position, and discussion papers should not exceed 7 pages, including bibliography.
* No page limit is set for non-original contributions.

To ease the reviewing process, the authors of full papers may add an appendix, although reviewers are not required to consider it in their evaluation.

Please always refer to the workshop website for the latest updates:

https://sites.google.com/unical.it/hcaixia2026/


== STUDENT CONTRIBUTIONS AND BEST STUDENT PAPER AWARD ==

The workshop actively encourages submissions with students as authors, especially when a student is the first or main contributor.

To recognise outstanding work, the PC Chairs will consider conferring a Best Student Paper Award, possibly with the support of AIxIA and the HC@AIxIA Working Group.

Details will be announced on the workshop website.


== PROCEEDINGS AND POST-PROCEEDINGS ==

The publication venue for the proceedings is TBA and will be unveiled later.

All accepted original contributions will be considered for inclusion in the workshop proceedings.

Non-original communications will not be published as original workshop papers, but will be given visibility on the workshop website, including a link to the original publication, if already published.

If a sufficient number of high-quality papers is accepted, the Chairs will also consider the publication of a selection of extended and revised contributions in an international journal special issue or post-proceedings volume.

In such a case, authors of selected papers will be invited to submit extended versions of their workshop contributions. A further formal review process will be carried out according to the standards of the selected publication venue.


== WORKING GROUP MEETING ==

All authors of accepted papers and interested participants are invited to participate in the annual meeting of the AI and Healthcare Working Group of AIxIA, which will be held in connection with the workshop.

Details will be announced on the workshop website.


== VENUE ==

The workshop will be held in the context of AIxIA 2026 and will take place in Perugia, October 6-9, 2026. Details TBA.


== CONTACTS ==

All questions about submissions should be emailed to:

hc-aixia@googlegroups.com


== IMPORTANT DATES ==

* Submission deadline: August 4, 2026, Anywhere on Earth (AoE)
* Notification of acceptance: August 27, 2026
* Camera-ready copy due: September 15, 2026
* Early registration: September 4, 2026 (see details on the AIxIA 2026 website)
* Workshop: October 6-9, 2026
* Working Group meeting: TBA


== COMMITTEES ==

=== Program Chairs ===

* Francesco Calimeri, University of Calabria
* Mauro Dragoni, Fondazione Bruno Kessler
* Fabio Stella, UniversitĂ  degli Studi di Milano - Bicocca


=== Program Committee ===

* Carlo Adornetto, University of Calabria (Italy)
* Mario Alviano, University of Calabria (Italy)
* Alessia Amelio, University G. d'Annunzio Chieti–Pescara (Italy)
* Luca Anselma, UniversitĂ  di Torino (Italy)
* Gianluca Apriceno, Fondazione Bruno Kessler (Italy)
* Tania Bailoni, Fondazione Bruno Kessler (Italy)
* Marcello Balduccini, Saint Joseph's University (USA)
* Riccardo Bellazzi, University of Pavia (Italy)
* Francesco Bellocchio, Fresenius Medical Care (Italy)
* Paola Berchialla, University of Turin (Italy)
* Alice Bernasconi, Fondazione IRCCS Istituto Nazionale dei Tumori (Italy)
* Alessio Bottrighi, University of Eastern Piedmont (Italy)
* Andreas Brännström, Umeå University (Sweden)
* Giuseppe Carbone, University of Calabria (Italy)
* Lorenzo Carnevale, University of Messina (Italy)
* Paola Cavalcante, Fondazione IRCCS Istituto Neurologico Carlo Besta (Italy)
* Stefano Cirillo, University of Salerno (Italy)
* Anthony Constantinou, Queen Mary University of London (UK)
* Erica Coppolillo, University of Calabria (Italy)
* Edoardo De Rose, University of Calabria (Italy)
* Luigi Di Biasi, University of Salerno (Italy)
* Carmine Dodaro, University of Calabria (Italy)
* Claudio Eccher, FBK-IRST (Italy)
* Jonas Ehrhardt, Helmut-Schmidt-University (Germany)
* Esra Erdem, Sabanci University (Turkey)
* Francesca Gasparini, UniversitĂ  Milano-Bicocca (Italy)
* Stefano Germano, University of Oxford (UK)
* Daniele Germano, Sapienza University of Rome (Italy)
* Antonio Ielo, UniversitĂ  della Calabria (Italy)
* Alberto Lavelli, Fondazione Bruno Kessler (Italy)
* Maurizio Lenzerini, Sapienza University of Rome (Italy)
* Fabrizio Lo Scudo, University of Calabria (Italy)
* Peter Lucas, Radboud University Nijmegen (Netherlands)
* Thomas Lukasiewicz, University of Oxford (UK)
* Cinzia Marte, University of Calabria (Italy)
* Giuseppe Mazzotta, University of Calabria (Italy)
* Giovanni Melissari, DLVSystem (Italy)
* Enrico Mensa, University of Turin (Italy)
* Stefania Montani, UniversitĂ  del Piemonte Orientale (Italy)
* Brais Muñiz Castro, University of Coruña (Spain)
* Giovanna Nicora, UniversitĂ  degli Studi di Pavia (Italy)
* Pierpaolo Pellicori, University of Glasgow (UK)
* Rafael Peñaloza, University of Milano-Bicocca (Italy)
* Luigi Portinale, UniversitĂ  del Piemonte Orientale (Italy)
* Alessandro Quarta, University of Calabria (Italy)
* Fabio Rinaldi, IDSIA USI-SUPSI (Switzerland)
* Giuseppe Rizzo, LINKS Foundation (Italy)
* Niccolò Rocchi, University of Milano-Bicocca (Italy)
* Luca Romeo, University of Macerata (Italy)
* Nicola Saccomanno, University of Udine (Italy)
* Leonardo Sanna, Fondazione Bruno Kessler - FBK (Italy)
* Marco Scutari, IDSIA (Switzerland)
* Sabrina Senatore, University of Salerno (Italy)
* Alberto Signoroni, University of Brescia (Italy)
* Manuel Striani, University of Piemonte Orientale (Italy)
* Giorgio Terracina, University of Calabria (Italy)
* Nicola Toschi, University of Rome Tor Vergata (Italy)
* David Vallejo, University of Castilla-La Mancha (Spain)
* Kai-Yen Wang, Qualcomm Technologies Inc., CPU Design (USA)
* Szymon Wilk, Poznan University of Technology (Poland)
* Paolo Zaffino, Magna Graecia University of Catanzaro (Italy)
* Alessio Zanga, UniversitĂ  degli Studi di Milano-Bicocca (Italy)
* Riccardo Zese, UniversitĂ  degli Studi di Ferrara (Italy)
* Floriano Zini, Free University of Bozen-Bolzano (Italy)

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