ETIM 2022 will start for the first time as a symposium of the "Institute for Artificial Intelligence in Medicine" founded in 2020. IKIM is one of the first institutes in Germany to start in this important field of innovation. And as pioneers in diverse areas of medicine, the institute's researchers always have their finger on the pulse of the times, thus guaranteeing exciting presentations and exceptional speakers.
Advances in healthcare and medical research are already strongly driven by information technology and engineering. Technologies like individual genome sequencing, high-performance multiparametric imaging or wearable medical devices generate exponentially growing datasets while contemporary data-mining techniques allow to extract large amounts of valuable data from existing archives of unstructured medical data. These offer the opportunity for highly specific clinical decision making and personalized precision medicine.
Further acceleration of medical innovation by upcoming technologies like artificial intelligence and smart hospital can be safely predicted. However, as complex challenges often require complex solutions, these technologies demand an interdisciplinary approach between clinicians, computer scientists, engineers, researchers, healthcare providers, legislators and many other disciplines.
We are poised to bring all stakeholders to the table to define the demands of clinicians and healthcare providers, outline technical solutions and create a common understanding of the opportunities, and also the difficulties that may arise. With the fifth ETIM meeting we aim to create new insights, stimulate networking and initiate a sustained flow of communication between individual experts and workgroups.
Chairman of the Department of Radiology
Chief Medical Officer, IT Department,
Essen University Hospital
Vice Dean for Finance and Structure,
University of Duisburg-Essen
Medical Director and
Chairman of the Board,
Essen University Hospital
Medical Machine Learning
Data Science
AI and Data Integration
AI for Oncology
Executive Director of the Board of Trustees,
Kühne Foundation, Schindellegi, Switzerland
Coding is politics: How algorithms influence our lives
Goethe - University of Frankfurt am Main,
Institute for Computer Science,
Professorship Database Technologies and Data Analytics
Frankfurt am Main, Germany
Similarity-based cohort analysis on ICU data
HealthCare Futurists, Managing Director
Cologne, Germany
The Cochrane Moment: The Role of AI
as an indicator of an organization‘s digital readiness.
Embracing next-level innovation in healthcare
University of Duisburg-Essen
Faculty of Engineering, Department of Electrical Engineering and Information Technology
Institute Director Medical Technology Systems
Affiliated with DFKI, Robotics Innovation Center, Bremen, Head of Intelligent Healthcare Systems
Essen, Germany
Exoskeleton based Stroke Rehabilitation
Leiden University,
Associate professor at the Leiden Institute of Advanced Computer Science,
Leiden, the Netherlands.
Text mining for health knowledge discovery.
Elsevier Clinical Solutions, Commercial Product Manager
Amsterdam, the Netherlands
In knowledge traffic, natural intelligence
has the right of way before artificial intelligence
turns on the turbo: The view of an information service provider
University of Twente, Associate Professor,
Data Management Technology
Enschede, the Netherlands
AI in health and the struggle for high quality data
NVIDIA, Senior Solution Architect
Munich, Germany
AI Computing Platforms for Healthcare and Life Sciences
contextflow,
Senior Machine Learning Engineer
Vienna, Austria
Data-centric development of machine-learning models for clinical practice
iCog Labs, CEO, Addis Abeba, Ethiopia
Emerging technology and its
exponential advantages of Leapfrogging African economy,
in healthcare and education
CEO Quality Match GmbH
Heidelberg, Germany
What is a good dataset and why do we need it?
Healthcare Industry Director EMEA, VMware
Munich, Germany
The Digital Foundation for Innovation and AI in Healthcare.
Agile, Outcome-focused and Secure.
Product Director & Lead
AI Informatics & Marketplace for Healthcare at Philips,
Utrecht Netherlands
Delivering AI at Scale
Head of Portfolio & Partners - Siemens Healthineers
Increasing the diagnostic resolution of MRI
Radiologist,
CEO & Founder of NeoQ Quality in Imaging GmbH,
Berlin, Germany
Radiology workplace of the future: Deep Integration of AI into Guided Reporting
University of Bielefeld,
Faculty of Engineering / AG Genome Data Science
Bielefeld, Germany
Predicting genetic diseases from genotype profiles using capsule networks
European Bioinformatics Institute (EMBL-EBI)
Section Head - Genome Assembly & Annotation
Microbiome Informatics Team Leader
Cambridge, Hinxton, United Kingdom
Genome Resolved Metagenomics -
understanding the metabolic potential of microbial communities
University of Hamburg,
Institute for Computational Systems Biology, Director
Hamburg, Germany
Privacy-preserving network and systems medicine
Heinrich Heine University of Düsseldorf,
Head of Algorithmic Bioinformatics
Düsseldorf, Germany
Towards explainable AI models in cancer research — a combinatorial perspective
DOE Joint Genome Institute,
Head, Microbiome Data Science
Berkeley, California, USA
TBA
Ruhr-University Bochum,
Head of RUB Bioinformatics group
Bochum, Germany
Molecularly Interpretable Machine Learning for Computational Pathology
Heinrich Heine University Düsseldorf,
Director of the Institute for
Medical Biometry and Bioinformatics
Düsseldorf, Germany
Structural variation and pangenome-based genome inference
University of North Carolina-Chapel Hill,
Assistant Professor,
Department of Biostatistics, Department of Genetics
Chapel Hill, North Carolina, USA
Allelic RNA-seq analysis
with Salmon and Swish
University of Toronto,
Assistant Professor,
Departments of Molecular Genetics
and Statistical Sciences
Toronto, Canada
Probabilistic machine learning for highly multiplexed imaging data
Adjunct Professor for Computer Science,
Heidelberg University, Germany
Solving inverse problems with machine learning
(times are subject to change)
