In Conjunction with IJCAI-ECAI-18
The Workshop on AI for Healthcare (AI4HC) is part of the
Joint Workshop on AI in Health (JWAIH) , together with the CARE and KR4HC workshops,.
The workshop aims to discuss AI technologies with medical applications. In particular, submissions are welcomed in any of the following three tracks:
Agents in Healthcare
Data Science and Decision Systems in Medicine
Knowledge Management in Healthcare
The Artificial Intelligence 4 for Healthcare (AI4HC) workshop intends to provide a discussion forum for the most recent and innovative work on the study and application of AI technologies in compelling healthcare scenarios. It will cover a wide spectrum of applications, from those aimed at easing and supporting healthcare professionals’ work to those devoted to improving patients’ lives. This workshop is a jointly organised by the teams behind several long-standing workshops in the FAIM context: Workshop on AI for Diabetes (ECAI); Workshop on Agents Applied in Health Care (AAMAS); Workshop on Case-Based Reasoning in the Health Sciences (ICCBR); and Knowledge Discovery in Healthcare Data (IJCAI). The goals of the workshop are to:
We invite submissions in the following categories:
Full papers should present original research work.
Short papers can be position or early results papers.
Short papers should describe a demonstration.
Topics of interest include, but are not limited to::
Submissions will be sorted into the three tracks above, although we also welcome submissions more broadly related to AI in Healthcare. For all papers, we strongly recommend the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work. The evaluation should demonstrate the feasibility of the presented newly developed formal methods and applications in healthcare. We specifically encourage work resulting from academia-industry partnerships.
The single day event will feature a mixture of invited talks, discussions and submitted contributions describing current work or work in progress in the area of AI in Healthcare.
Papers will be peer-reviewed by at least three reviewers. Selection criteria will include relevance, significance, impact, originality, technical soundness, and quality of presentation. Some preference may also be given to papers which address emergent trends or important common themes, or which enhance balance of workshop topics.
We plan to publish selected papers in two post-proceedings volumes through Springer, and will further offer participants the opportunity to contribute to a Special Issue in the ESWA Journal
This workshop is a merge of different events including the following.