Connectionists: Call for papers: Artificial Intelligence, Causality and Personalized Medicine (AICPM 2023)

[sandipan.sikdar at l3s.de]

Artificial Intelligence, Causality and Personalized Medicine (AICPM 2023) 

https://aicpm2023.de/ 

Call for abstract submission 

Benefiting from a huge amount of data with multiple modalities in the big
data era, the rapid evolution of artificial intelligence (AI) is
contributing to advances in medical applications. Such applications include
genetic data are analysed for predicting risks of cancer or treatment
outcome in oncology; clinical data from electronic health records are useful
for predicting specific diseases, such as sepsis in intensive care units;
and bio-signals can be processed by AI for many applications, such as
electrocardiography. In particular, personalised medicine will benefit from
intelligent, reliable, and responsible AI systems, therefore improving care
and the quality of life. 

Current machine learning systems often lack understanding of the
relationship between causes and effects in their domain. Causal reasoning
is, therefore, being recognized as a missing piece in AI methods.
Integrating causality into machine learning methods will be integral for
designing next generation intelligent systems. The causality framework
allows researchers to represent medical background knowledge in an
explainable manner. Thus, causal AI promises to improve further personalised
medical applications with trustworthy and fair decision-making.  

In this context, the AICPM Symposium is calling for high-quality abstract
submissions in the research field of AI and medicine, with the goal of
promoting research development and agenda setting in this interdisciplinary
domain.   

We invite discussions at the intersection of AI and outlined topics in
medicine. The research topics include, but are not limited to: 

*                 Specific uses and use cases of AI and ML in medical
contexts, lessons learned and best practices 

*                 Reporting of specific data-intensive medical experiments  

*                 Prototypes of AI systems in medical applications, decision
support systems 

*                 Machine learning approaches in medical applications 

*                 Causality of AI in personalised medicine 

*                 Trustworthy AI in personalised medicine 

*                 Ethical and fair AI in personalised medicine 

 

The selected abstracts will be invited to be presented either in poster or
oral format. There will also be an opportunity to submit full papers for
publication in the Proceedings of the symposium. For submission we will
follow the LNCS format. The overleaf link can be found
<https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer
-science/kzwwpvhwnvfj#.WuA4JS5uZpi> here. The latex and word templates can
be downloaded
<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu
idelines> here.  

Each submission is limited to a maximum of two pages. The abstracts can be
submitted through EasyChair
<https://easychair.org/conferences/?conf=aicpm2023> here. 

Important dates: 

Abstract submission:                    15 May 2023   

Outcome notification:               15 June 2023 

 

With Best Regards, 

Michael Marschollek, Hannover Medical School, Germany 

Niloy Ganguly, IIT Kharagpur, India 

 

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