Thor E Andreassen, Peter J Laz, Ahmet Erdemir, Thor F Besier, Jason P Halloran, Carl Imhauser, Snehal Chokhandre, Ariel Schwartz, Neda Abdollahi Nohouji, Nynke Rooks, Marco T Y Schneider, Shady Elmasry, William Zaylor, Donald Hume, Kevin B Shelburne
Model reproducibility is a point of emphasis for the National Institutes of Health (NIH) and in science, broadly. As the use of computational modeling in biomechanics and orthopaedics grows, so does the need to assess the reproducibility of modeling workflows and simulation predictions. The long-term goal of the KneeHub project is to understand the influence of potentially subjective decisions, thus the modeler's "art", on the reproducibility and predictive uncertainty of computational knee joint models. In this paper, we report on the model calibration phase of this project, during which five teams calibrated computational knee joint models of the same specimens from the same specimen-specific joint mechanics dataset...
October 5, 2023: Journal of Biomechanical Engineering