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Chair: Ulrich Bick, MD (D)
Co-Chair: Kiyonari Inamura, PhD (J)
President: Pierre Jannin, PhD (F)
Chairman: Hiroyuki Yoshida, PhD (USA)
Chairman: Christos Angelopoulos, PhD (USA)
Co-chair: Yoshihiko Hayakawa, PhD (J)
Chairs: Kensaku Mori, PhD (J), Parvin Mousavi, PhD (CDN), Danail Stoyanov, PhD (UK)
Chairmen: Andreas Dietz, MD (D), Heinz U. Lemke, PhD (D)
Chairs: Makato Hashizume, MD (J), Hiroyouki Yoshida, PhD (USA), Heinz U. Lemke, PhD (D)
Chairmen: Leonard Berliner, MD (USA), Eric vanSonnenberg, MD (USA), Hubertus Feussner, MD (D)
Chairmen: Yoshihiro Muragaki, MD (J), Heinz U. Lemke, PhD (D)
Friday, June 22, 2018
In order to achieve a holistic system view on a patient's disease status and to better tailor therapies to the individual needs of a patient, computational modeling concepts for the cardiovascular system integrate medical data from different biological scales (organ, tissue, cell) and different sources (imaging, clinical information, omics). First methods have reached already an advanced stage of development so that they are introduced into clinical application. Simulation models require advanced methodologies to extract the required input information from clinical measurements such as imaging, or sensors. Furthermore, visualization and virtual treatment approaches have to be provided to enable interaction and prediction of therapy outcomes. The sessions of this event focus on the different aspects of modeling in the cardiovascular system ranging from image-based model generation to intraoperative guidance. Invited clinical and technical experts start the sessions and participate in discussions at the end of each session.
Session 1 - Innovations and trends in cardiovascular intervention support
Chairs: A. Hennemuth, F. Degener
Session 2 - Analysis and simulation of cv hemodynamics in congenital heart disease
Chairs: B. Köhler, S. Nordmeyer
Session 3 - Analysis and simulation of cv hemodynamics in adults
Chairs: H. Mirzaee, B. Preim
Session 4 - Analysis and simulation of cv electrophysiology & biomechanics
Chairs: K. Tönnies, T. Kühne
Chairs: Heinz U. Lemke, PhD (D), Hiroyuki Yoshida, PhD (USA)
Thursday, June 21, 2018
Contrary to the popular and general concept of Artificial Intelligence, the more neutral expression Machine Intelligence (MI) is used at CARS as an umbrella term for this very significant information technology. In general, MI is presented and discussed at CARS in the specific context of assisting medical diagnostic and therapeutic procedures in radiology and surgery. Machine learning, deep learning and Clinical Decision Support Systems are typical examples of MI in sessions of past CARS Congresses. Within this specific medical focus, MI is providing new technical and clinical capabilities using advanced mathematical methods and innovative information technology tools. The CARS 2018 Special Session on Machine Intelligence addresses 5 critical questions relating to the substance, relevance, applications, impact and implications of mathematical methods and algorithms of MI:
1. What qualifies a mathematical method or an information technology tool to be considered as machine, artificial or computational intelligence (or any other synonym or near-synonym) for radiology or surgery?
2. Which mathematical method or information technology tools are of particular relevance for applying MI in radiology and surgery?
3. How can these mathematical method or information technology tools for MI be applied to improve clinical work flow and/or patient outcome?
4. When can results and impact of MI be expected for improved clinical workflow and patient outcome?
5. What are the potential economic, social and ethical implications of MI in radiology and surgery specifically, and in health care generally?
The potential answers to these questions are likely to be of a very divergent nature. A group of experts at CARS will endeavor to converge the answers to reproducible and actionable insights. These should also serve as guidelines for future research in MI for computer assisted radiology and surgery.
Chair: Thomas Neumuth, PhD (D)
Medical device interoperability facilitates integrated, intelligent operating rooms that are situation-aware and are able to adapt and support the medical personnel appropriately. To anchor current and future accomplishments of science and engineering in the daily clinical routine, standardization is indispensable. This session addresses different standards with the potential to contribute to emerging technologies in the operating room. Therefore, well-established standards as well as promising and emerging ones are introduced and discussed with respect to their suitability, current trends, interconnections to other standards and future potential for the digital operating room.
Focus of presentations:
Chairs: Gabor Fichtinger PhD (CDN), Sonja Pujol, PhD (USA), Javier Pascau, PhD (E)
Many published methods and algorithms never get translated to clinical testing due to the required efforts in software development and system integration; their potential benefits to patients remain unexplored and much valuable work is lost. The objective of this tutorial is to provide hands-on experience in building surgical navigation systems for clinical research using open-source software, requiring only very minimal (or no) coding background. The software tools to be used in the tutorial were developed with the goal of speeding up translation of new methods and algorithms from the laboratory environment to clinical research on patients.
Software tools used will include the PLUS toolkit for interfacing various hardware devices, 3D Slicer for creating user interfaces and data visualization, and the SlicerIGT extension for real-time navigation.
Special registration required.