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 robotics 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
Director of Nursing, University Hospital of Essen, Germany
Medical Director and Chief Executive Officer, University Hospital of Essen, Germany
State Minister for Economic Affairs, Digitization, Innovation and Energy, North Rhine-Westphalia, Germany
Consultant, Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
Should we be afraid of AI?
CEO, Molecular Health GmbH, Heidelberg, Germany
Leveraging big data and AI for evidence-based healthcare decision, support, and smarter drug development
Senior-Lecturer in Medical Image Computing, Imperial College London, Department of Computing, London, UK
Can we build a machine capable of interpreting medical scans with super-human performance?
Vice President, Siemens Healthineers Technology Center, Princeton, New Jersey, USA
Artificial Agents for Healthcare
CIO, GE Healthcare Imaging, Schenectady, New York, USA
GE's perspective on the future of artificial intelligence in healthcare
Research Department Head, Clinical Application Research, Philips GmbH Innovative Technologies, Research Laboratories, Aachen, Germany
Artificial Intelligence in Clinical Research
CEO, sundhed.dk, Copenhagen, Denmark
Opportunities and Challenges of a digitized Healthcare System – The Danish e-health portal example
Director, Clinic for Obstetrics and Gynecology, University Hospital Essen, Essen, Germany
Robotic surgery in gynecology
CEO, Ophthorobotics, Zurich, Switzerland
What can be the future role of robot-assisted surgery in ophthalmology?
DFKI GmbH, Robotics Innovation Center (RIC), Bremen, Germany
State of the art in robotics engineering and potential applications in healthcare
Head of Nursing Research, University Hospital Halle (Saale), Halle (Saale), Germany
Robots in care: fiction or reality?
CEO, Mint Solutions, Amsterdam, The Netherlands
Closing the loop: Medication safety for hospitals and healthcare institutions
CEO, Agaplesion Frankfurter Diakonie Kliniken gGmbH, Frankfurt, Germany
Taking off: Medical transportation with drones
Director, Institute for Cognitive Systems, Technical University of Munich, Munich, Germany
Brain to robot: What is already possible?