ETIM 2020
Artificial Intelligence and Microlearning
Emerging technologies in medicine
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ETIM 2020

Artificial Intelligence & Microlearning

Complex challenges require interdisciplinary approaches. Find out at first hand which topics are of interest to experts. Be there when experienced physicians, engineers and computer scientists talk about future topics in radiology. And after the lectures, take advantage of the opportunity for networking and a lively exchange of opinions among nice colleagues.

 

Advancing Technology

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.

Challenges & Opportunities

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.

Insights & Networking

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 fourth ETIM meeting we aim to create new insights, stimulate networking and initiate a sustained flow of communication between individual experts and workgroups.

Conference Speakers

Conference Chairs

Michael Forsting

Chairman, Department of Radiology,
Chief Medical Officer, IT department, University Hospital of Essen
Dean of Research, Faculty of Medicine, University of Duisburg-Essen, Germany

Jochen Werner

Medical Director and Chief Executive Officer, University Hospital of Essen, Germany

Felix Nensa

AI Research, University Hospital of Essen,
Department of Radiology, Germany

Guest of honor

Nassir Navab

Chair for Computer Aided Medical Procedures & Augmented Reality,
Fakultät für Informatik, Technische Universität München

Moderation of the 28th and 29th February 2020

Dominik Pförringer

Consultant, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany

Day 1, Feb. 28th 2020 - Artificial Intelligence

Marc Kämmerer

Radiologist, Head of Innovation Management,
VISUS Health IT GmbH, Bochum, Germany

Medical Data and where to find it.

Matthieu LeClerc-Chalvet

CEO, Therapixel, Paris, France

Can AI reach radiologists' performance in mammography screening?

Felix Nensa

AI Research, University Hospital of Essen,
Department of Radiology, Germany

Yes we GAN: But sometimes we don’t even scan.

Jens Kleesiek

Resident Physician, Deutsches Krebsforschungszentrum,
Heidelberg, Germany

Yes we GAN: But sometimes we don’t even scan.

Folker Meyer

Mathematics and Computer Science Division,
Biology Division, Argonne National Laboratory, Argonne, USA

Data Science and Machine Learning for large scale Microbiome data.

Jürgen Schäfer

Head of Center for undiscovered and rare diseases (ZusE),
University Hospital of Marburg, Germany

TBA

Alexandra Jorzig

Certified Specialist Attorney for Medical Law,
Professor of Health and Social Legislation, IB Hochschule Berlin, Germany

You have to try the impossible to achieve the possible, (Hermann Hesse)
AI from the point of view of the lawyer

Bram Stieltjes

Head of Department Research & Analysis,
Services Department D&ICT,
University Hospital of Basel, Switzerland

AI in a clinical context; get ready to make your hands dirty!

Constantin Tilman Schott

Winner of the German National Youth Science Contest „Jugend forscht“ for Mathematics/Informatics 2019,
Laureate of the European Union Contest for Young Scientists (EUCYS) 2019, Student

Neural Network application to key-point-detection in radiographs

Richard Mc Kinnley

Senior Researcher Inselspital,
University Hospital of Bern, Switzerland

Teach Medical Doctors how to train deep learning models
– a certificate of Advanced Study

Stephen Borstelmann

Interventional Radiologist, Deep Learning / Medical AI Researcher,
West Palm Beach, Florida Area, USA

Moving from volume-based to outcomes-oriented healthcare: What's the role of AI?

Sebastian Busse

Head of Data Ideation & Service Innovation
Head of Business Project Managementy
Head of Business IT
NEXT Data Service AG

smartOR: Integrated AI-driven OR-planning





Day 1, Feb. 28th 2020 – 17:00 - Startup Battle


And finally we will surprise you with a thrilling startup battle among promising eHealth startups!

More Information in January

Day 1, Feb. 28th 2020 – 19:00 - 22:00 - Among nice Colleagues


Already Aristotle pointed out very early on the importance of community sense and networks.
For a few generations we see that political, private and business networks can be very successful.

Day 2, Feb. 29 2019 - Microlearning

Keynote Speaker

Joachim Fandrey

Executive Director, Department of Physiology,
University Hospital of Duisburg, Germany
Dean for Studies and Teaching Faculty of Medicine,
University of Duisburg-Essen, Germany

Josef Smolle

Head of Staff, Teaching with Media,
University Hospital Graz, Austria

Propositional MicroLearning and rapid content development

Gregor Cholewa

CEO, Co-Founder, knowledgefox.net

Mobile learing strategies for effective intergration of micro-learning in medical education

Martin Riemer

Head of teaching Medical Computer Science
University Medical Center Hamburg-Eppendorf (UKE),
Hamburg, Germany

E-Learning infrastructures for medical education:
Can we move from real to virtual
patients and hospital environments to allow more MicroLearning?

Volker Casper

Managing Director, oddity evolve, Cologne, Germany

Effective developement in tailor-made learning worlds...visions or reality?

Ulrich Schmid

Executive Partner mmb Institut,
Adjunct Researcher DFKI, Education Technology Lab, Essen, Germany

MicroLearning - MicroCredits - MicroDegrees: New ways of education in medicine?

More Speakers to be announced...

Conference Schedule

Location

Lehr- und Lernzentrum der Medizinischen Fakultät
Virchowstraße 163a
45147 Essen , Germany
GEO: 51.432924, 6.988292
Car parking facility:
Virchowstraße 175
45147 Essen, Germany

Registration

REGISTER NOW!

You will be redirected to our partner site eveeno.com

Impressions

 

ETIM 2019 - Review



 

Sponsors

 
 

Disclosure of financial support according to transparency guidelines FSA-Kodex Fachkreise (§ 20 Abs. 5). For booth and advertisement, respectively: Siemens Healthcare GmbH 15.000€, VISUS Health IT GmbH 2.000€, Bracco Imaging Deutschland GmbH 2.000€

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