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Development of an additively-manufactured functionally-graded expandable implant via the application of the adaptive response surface method: feasibility study on intramedullary humerus nail.

Aleš HroudaPetr ObrubaLukas CapekJiri SafkaVeronika TruxovaStefan Rammelt
Published in: Computer methods in biomechanics and biomedical engineering (2022)
The paper introduces the concept of the rational design of a deployable humeral intramedullary nail plug based on a honeycomb structure used for the surgical treatment of humeral shaft fractures. The concept serves for to restore the axial alignment of bone fragments and to maintain stability via bone-nail friction and locking screws. The design nail plug was gained by optimisation process the Latin Hypercube Sampling Design algorithm and Multi-Objective Genetic Algorithm. It was shown that we can use statistical shape function combined by 3 D printing for designing of a new rationally designed implants.
Keyphrases
  • soft tissue
  • bone mineral density
  • machine learning
  • deep learning
  • bone loss
  • postmenopausal women
  • neural network