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This lecture presents a bachelor's project on the effect of patient diversity in the treatment of inverted pertrochanteric fractures with screws. The project aims to establish general rules to guide surgeons in choosing the appropriate nail length for treating this type of femur fracture. By automating the simulation process, the project allows for the quick and easy variation of parameters influencing nail selection, such as fracture orientation, patient age, and sex. The results show that nail choice should consider factors beyond fracture orientation, with longer nails being preferable for fractures beyond 50 mm. The analysis also indicates that patient age and sex, affecting bone density, play a role in nail performance. The automation process enables the generation of a large number of virtual patients for statistical analysis and the modification of various simulation parameters.
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