Call for Papers and Important Dates

Important Dates (subject to adjustments)

TBD

Background

In the latest years we have been witnessing the ubiquitous application of Artificial Intelligence in real-world domains; in particular, AI-based solutions significantly changed the game in the field of medicine and healthcare in several respects (research, management, clinical practice). Indeed, applications of AI in the healthcare domain became a major research topics, that attracts cross-disciplinary research groups.

Medicine and health care require highly complex decision making to ensure that the trajectory a patient with a disease needs to take for diagnosis, treatment, recovery, and finally outcome is optimal in some sense. As a consequence, researchers have to draw methods from the entire field of AI. On the other hand, healthcare and medicine are built upon a rich and evolving body of knowledge, e.g., concerning the pathophysiology of diseases, molecular, genetic, cytological, and histological characterization of stages of a disease, described by temporal and spatial patterns. Such knowledge can also act as background knowledge to guide machine learning. In order to move towards effective and long-lasting applications of AI in healthcare, it is crucial to elucidate the relationship between what can be expected from AI methods when applied to healthcare problems and the role knowledge of healthcare and clinical medicine can play in developing AI solutions to health-care and clinical problems.

The Workshop

The HX@AIxIA workshop aims at gathering researchers from academia, industry and medical centers for presenting and discussing the latest research results and ongoing works related to the application and impact of AI in the healthcare domain, to the larger extent, thus aiming at covering a wide spectrum of topics, including theoretical and practical aspects, methodologies, technologies, and systems.

Topics include, but are not limited to:

•  Machine learning methods, data mining and statistical methods for clinical decision support

•  Probabilistic graphical models for clinical decision-making and causal networks

•  Learning, representation and reasoning with time

•  Knowledge representation, reasoning and formal argumentation in healthcare:

•  Methods for diagnosis, treatment selection, treatment planning, and prognosis

•  Monitoring patients in healthcare

•  Ontologies and medical vocabularies

•  Personalized medicine

•  Computer-interpretable clinical guidelines

•  Support for natural language generation/understanding in connection electronic patient records

•  Tools for supporting authoring, execution and maintenance of clinical protocols and guidelines

•  Tools for building and deployment of clinical decision-support systems

Contributions

The workshop will feature presentations of refereed contributions; four types of submissions are invited: 

• full papers; 

• short papers, which are particularly suitable for presenting work in progress, software prototypes, extended abstracts of doctoral theses, or general overviews of research projects;

• systems or prototype software descriptions: they must include a brief description, prepared according to the guidelines given for short papers, and a specification of the required hardware and software equipment. Systems of both research and industrial character are welcome;

• non-original papers, already appeared to other conferences or journals, suitable for dissemination and opening discussion.

Besides demos, some contributions might be invited to be presented as posters.

Submission Instructions

Authors are invited to submit their manuscripts in PDF via the EasyChair system at the link:

• https://easychair.org/conferences/?conf=hcaixia2023

Articles must not exceed 15 pages for full papers and 8 pages for short papers, respectively. No page limit is set for non-original contributions.

Manuscripts should be formatted using the CEUR-ART style available at the link: https://ceur-ws.org/HOWTOSUBMIT.html.

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

All contributions must be written in English.

For each accepted contribution, at least one of the authors is required to:

• register to AIxIA 2023;

• attend the HC@AIxIA 2023 workshop and present the paper (Each attendee should not present more than 2 works at the workshop).

The event is organized by AIxIA.

Proceedings 

All accepted original contributions (both full and short) will be published on CEUR-WS.org. Non-original communications will be given visibility on the workshop web site, including a link to the original publication, if already published. 

Journal Special Issue

Workshop post-proceedings will be part of a special issue of the international journal "Progress in Artificial Intelligence", published by Springer (ISSN: 2192-6352) - provided that a sufficient amount of quality papers is collected. In such case, authors of accepted papers (including non-originals, if not published in a journal yet) will be invited to submit extended and revised versions of their papers. A second review formal process will be run in order to meet the expected quality of a journal. 

Working Group Meeting

All authors of accepted papers are invited to participate in the annual meeting of the AI and Healthcare Working Group of AIxIA, that will be held the day before the workshop.