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 second ETIM meeting we aim to create new insights, stimulate networking and initiate a sustained flow of communication between individual experts and workgroups.
Chairman, Department of Radiology, Chief Medical Officer, IT department, University Hospital of Essen Dean of Research, Faculty of Medicine, University of Duisburg-Essen, Germany
Medical Director and Chief Executive Officer, University Hospital of Essen, Germany
Professor, Department of Computer Science, University of Applied Sciences and Arts, Dortmund, Germany
Beyond Bitcoin: Blockchains for Healthcare
Chief Scientist, Mirada Medical Ltd, Oxford, UK
How to get your AI App cleared by the FDA and into clinical routine
Resident, Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
Real-world application of deep learning in radiology: fully automated bone age assessment
Associate Professor, Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
AI in Medical Image Analysis and Image Guided Interventions: What the radiologist needs to know
Manager Information Security Solutions, Sopra Steria SE, Hamburg, Germany
KRITIS meets Big Data and AI: Loving union or forced marriage?
Researcher, Department of Computer Science, University of Applied Sciences and Arts, Dortmund, Germany
Real-world application of deep learning in radiology: fully automated bone age assessment
Resident, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
Can we use AI to detect and quantify multiple sclerosis with human level accuracy?
Professor, Translational Oncology, University of Cologne, Cologne, Germany
Personalized therapy in clincial routine: Vision or reality?
CEO, Molecular Health GmbH, Heidelberg, Germany
The molecular dimension in smart hospitals
CTO, CIO, Inselgruppe, Bern, Switzerland
How to aggregate scattered and heterogeneous data in a large Hospital
Managing Partner, GE Healthcare, London, UK
Command Center for a Hospital! Crazy?
Sales Manager Medical, Materialise GmbH, Gilching, Germany
3D Printing in Hospitals – Hype or Must-have?
Siemens Healthineers, Forchheim, Germany
Improving clinical workflows with intelligent decision support systems
Consultant, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
Digitization of hospitals - Drones or data cables? Where does the deficit pinch?
Professor & Head of Department of Pharmacology & Personalised Medicine, Faculty of Health, Medicine & Life Science, Maastricht University, Maastricht, The Netherlands
The end of medicine as we know it?
