Optimization of primary screw stability in Trabecular bone using neural network-based models.

Journal: Computer methods and programs in biomedicine
PMID: 40107082

Abstract

BACKGROUND AND OBJECTIVE: Screw implant stability in bone is crucial to the success of many orthopaedic procedures, yet the relationship between screw design parameters and specific bone characteristics remains underexplored. This study aims to optimize screw designs to enhance primary stability by leveraging subject-specific bone data and advanced surrogate modelling techniques.

Authors

  • Yijun Zhou
    Division of Biomedical Engineering, Department of Materials Science and Engineering, Ångströmlaboratoriet, Uppsala University, Lägerhyddsvägen 1, Uppsala 75237, Sweden.
  • Benedikt Helgason
    Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.
  • Stephen J Ferguson
    Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.
  • Cecilia Persson
    Division of Biomedical Engineering, Department of Materials Science and Engineering, Ångströmlaboratoriet, Uppsala University, Lägerhyddsvägen 1, Uppsala 75237, Sweden. Electronic address: Cecilia.Persson@angstrom.uu.se.

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