In Conjunction with IJCAI-ECAI-18
The Joint Workshop on AI in Health (JWAIH) consolidates the
workshops and 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
JWAIH 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. The event aims to discuss computational models, social computing, and agent-based solutions applied to practical solutions that address topics related to Healthcare.
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 journal special issue.
The Joint Workshop on AI in Health aims to bring together communities from Machine Learning and Artificial Intelligence applied in Health and Medicine. It consolidates previous workshops in the area, co-located with AAMAS, IJCAI, ICML and other related conferences: