About the symposium
We are delighted to announce the upcoming Artificial Intelligence, Causality, and Personalised Medicine Symposium, taking place from September 14th to September 15th. This two-day symposium aims to bring together a diverse community of researchers and medical practitioners who are passionate about exploring and advancing the applications of artificial intelligence (AI) and machine learning (ML) in the field of medicine. This symposium will provide a catalyst for interdisciplinary collaboration and dialog with the aim of knowledge sharing, research presentation, and agenda setting.
Registration
Registration for the symposium is now open. The registration fee 119 Euros incl. VAT. However, please note that members of the Leibniz University of Hannover or the L3S are not required to pay VAT. This fee includes access to all sessions, conference materials, networking opportunities, and refreshments throughout the event.
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
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 here. The latex and word templates can be downloaded here.
Each submission is limited to a maximum of two pages. The abstracts can be submitted through EasyChair here.
Important dates:
Abstract submission –
31 May 2023
Abstract acceptance –
1 July 2023
L3S poster template
Schedule
08:00 – 08:30
Registration
08:30 – 09:00
Welcome Address by the General Chairs
09:00 – 10:00
Causal methods in medicine
10:00 – 10:25
Estimating causal effects from patient trajectories
10:25 – 10:50
Morning Break
10:50 – 12:35
Medical Use Cases
Predictive Modeling of Postoperative Performance in Cochlear Implantation:
A Machine Learning Approach
Long-term kidney graft survival: reliable prognostication and patient stratification with factors from the first transplant year
Personalized prediction of mortality risks in chronic kidney disease patients
Rules as an Interface Between Computer Science and Medicine for Building an Artificial Intelligence-Based Support App in Genetic Counseling
An Association Analysis between EQ-5D-3L Items for Post-Stroke Patients
12:30 – 12:40
Poster spotlight talks (2 min. each), 1 slide
12:40 – 14:00
Lunch & Poster session in basement
14:00 – 15:00
Causal Inference and Large Language Models: A New Frontier
15:00 – 16:00
Causal Modelling
Completing Causal Models by Estimating Average Treatment Effects
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Development and Evaluation of a Personalized Ensemble Model for Infection Risk Prediction in Chronic Lymphocytic Leukaemia Patients Using Heterogeneous Data Sources
16:00 – 16:30
Afternoon Break
16:30 – 17:30
Assessing Human Factors
An Ethics Perspective on the Role of Explainability in the Context of AI Applications in Medicine
AI Based Suicide Risk Assessment
Some ideas towards building
libraries of (human) mistakes
17:30 – 18:30
Poster Presentations & Mixer
Don’t forget:
Abstract submission: 31.05.2023
Abstract acceptance: 01.07.2023
Symposium: 14.09.2023 – 15.09.2023
Venue:
Leibnizhaus, Hannover