Simulation supports the decision-making process in patients with obstructive sleep apnea

Publications

Pugachev, A., M. Arnold, S. Burgmann, U. Janoske, Á. Bicsák, D. Abel, J. Linssen, and L. Bonitz. 2020. Application of patient-specific simulation workflow for obstructive sleep apnea diagnosis and treatment with a mandibular advancement device. International Journal for Numerical Methods in Biomedical Engineering 36 (8). https://doi.org/10.1002/cnm.3350

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Arnold M., S. Burgmanna, L. Bonitz, A. Pugachevc, and U. Janoske. 2021. Experimental study on the influence of model variations on the airway occlusion of an obstructive sleep apnea patient. Journal of Biomechanics 123. https://doi.org/10.1016/j.jbiomech.2021.110529 

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Preoperative planning with simulation reliably delivers symmetrical results in surgically assisted palatal expansion

Solution approach and implementation of IPS inSilico® x RPE

Publications

Chhatwani S., K. Schudlich, S. C. Möhlhenrich, A. Pugachev, A. Bicsak, B. Ludwig, S. Hassfeld, G. Danesh, and L. Bonitz. 2021. Evaluation of symmetry behavior of surgically assisted rapid maxillary expansion with simulation-driven targeted bone weakening. Clinical Oral Investigations. https://doi.org/10.1007/s00784-021-03958-w

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Bonitz L., A. Volf, S. Hassfeld, A. Pugachev, B. Ludwig, S. Chhatwani, and A. Bicsák. 2022. Patient-specific pre-operative simulation of the surgically assisted rapid maxillary expansion using finite element method and Latin hypercube sampling: workflow and first clinical results. Computer Methods in Biomechanics and Biomedical Engineering 25.https://doi.org/10.1080/10255842.2022.2075223

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Virtual implant check for the digital verification of patient-specific implants

Already implemented anatomical regions

Publications

De Zee, M., M. Dalstra, PM. Cattaneo, J. Rasmussen, P. Svensson, and B. Melsena. 2007. Validation of a musculo-skeletal model of the mandible and its application to mandibular distraction osteogenesis. Journal of Biomechanics 40 (6). https://doi.org/10.1016/j.jbiomech.2006.06.024

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Ignasiaka D., S. Dendorfer, and SJ.Ferguson. 2016. Thoracolumbar spine model with articulated ribcage for the prediction of dynamic spinal loading. Journal of Biomechanics 49 (6). https://doi.org/10.1016/j.jbiomech.2015.10.010

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The so-called digital twin is an exciting new technology trend that could revolutionize healthcare. In simple terms, a digital twin is the digital replica of a physical object.

In healthcare, a digital twin relating to a patient can be defined as one or more computational models which are a dynamic digital representation of a real biological target ("artifact") or aspect of a person's physical condition.

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In silico describes the change in medicine and is regarded as the next stage of evolution: from in vivo, experiments in the human body, to in vitro, in the test tube, and now in silico - where experiments are conducted in silicon, i.e. on the computer.

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The term medical software refers to software solutions applied in the field of medicine. In medical software, one differentiates between embedded software and stand-alone software.

Embedded software is an integral part of an existing medical device. Stand-alone software is a medical device in its own right. A third option is the software as an accessory of a medical device.

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When using the term medical simulation we mean the simulation of complex biomechanical and physiological processes with the aim of supporting medical interventions.

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The finite element method is a numerical method that is applied to a solving a wide range of physical problems. In this method, complex geometries are broken down into many small geometries which are easy to calculate. These geometries are then calculated and linked together. FEM can, for example, be used to calculate and simulate various characteristics such as deformations.