Overview and session details of the ESB2023 congress.
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AI / Data-driven modelling in biomechanics I: Decision Support
Time:
Tuesday, 11/July/2023:
15:45 - 17:00
Session Chair: Christian J. Cyron Session Chair: Tien-Tuan Dao
Location:Copenhagen (Room 0.3)
Presentations
15:45 - 16:10 ID: 110
MODERN AI MEETS BIOMECHANICS: A NEW PARADIGM FOR IN SILICO MEDICINE
T.-T. Dao
Centrale Lille Institut, France
16:10 - 16:22 ID: 160
PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING ENHANCED FINITE ELEMENT MODELING APPROACH – DATA FROM OSTEOARTHRITIS INITIATIVE
M. J. Turunen1, T. A. T. Nurmirinta1, M. K. Liukkonen2, J. Tohka1, M. E. Mononen1
1University of Eastern Finland, Finland; 2Kuopio university Hospital, Finland
16:22 - 16:34 ID: 583
PREDICTING THE PREMORBID ANATOMY OF THE SCAPULA USING GENERATIVE MODELS
O. B. Satir1, P. Eghbali2, A. Terrier2,3, F. Becce3, P. Goetti3, A. Meylan3, K. Rothenbühler3, P. Büchler1
1ARTORG Center for Biomedical Engineering Research, Switzerland; 2Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; 3Lausanne University Hospital (CHUV), Switzerland
16:34 - 16:46 ID: 679
AI-BASED GENERATION OF MULTIFARIOUS MEDICAL DATA FOR IN SILICO CLINICAL TRIALS
R. GANESAN1, F. N. V. D. VOSSE1, W. HUBERTS1,2
1Department of Biomedical Engineering, Eindhoven University Of Technology, The Netherlands; 2Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, The Netherlands