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Reproducibility in Modeling and Simulation of the Knee: Academic, Industry, and Regulatory Perspectives.

Carl W ImhauserAndrew P BaumannXiangyi Cheryl LiuJeffrey E BischoffNico VerdonschotBenjamin J FreglyShady S ElmasryNeda N AbdollahiDonald R HumeNynke B RooksMarco T-Y SchneiderWilliam ZaylorThor F BesierJason P HalloranKevin B ShelburneAhmet Erdemir
Published in: Journal of orthopaedic research : official publication of the Orthopaedic Research Society (2023)
Stakeholders in the modeling and simulation (M&S) community organized a workshop at the 2019 Annual Meeting of the Orthopaedic Research Society (ORS) entitled "Reproducibility in Modeling and Simulation of the Knee: Academic, Industry, and Regulatory Perspectives". The goal was to discuss efforts among these stakeholders to address irreproducibility in M&S focusing on the knee joint. An academic representative from a leading orthopaedic hospital in the United States described a multi-institutional, open effort funded by the National Institutes of Health to assess model reproducibility in computational knee biomechanics. A regulatory representative from the United States Food and Drug Administration indicated the necessity of standards for reproducibility to increase utility of M&S in the regulatory setting. An industry representative from a major orthopaedic implant company emphasized improving reproducibility by addressing indeterminacy in personalized modeling through sensitivity analyses, thereby enhancing preclinical evaluation of joint replacement technology. Thought leaders in the M&S community stressed the importance of data sharing to minimize duplication of efforts. A survey comprised of 103 attendees revealed strong support for the workshop and for increasing emphasis on computational modeling at future ORS meetings. Nearly all survey respondents (97%) considered reproducibility to be an important issue. Almost half of respondents (45%) tried and failed to reproduce the work of others. Two-thirds of respondents (67%) declared that individual laboratories are most responsible for ensuring reproducible research while 44% thought that journals are most responsible. Thought leaders and survey respondents emphasized that computational models must be reproducible and credible to advance knee M&S. This article is protected by copyright. All rights reserved.
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