ANALYSIS TIME-DEPENDENT TOPOLOGY OPTIMIZATION OF BONE PLATES CONSIDERING BONE REMODELLING USING AI APPROACH

Bone plates are commonly used in orthopaedic surgeries to stabilize fractured bones and promote proper healing the design of bone plates is typically static and does not account for the dynamic nature of bone remodelling, which can lead to complications such as implant loosening or stress shielding. In this study, we propose a timedependent topology optimization approach for bone plates considering bone remodelling, using an artificial intelligence (AI) approach. The AI approach combines machine learning techniques with finite element analysis to simulate the remodelling process and optimize the design of bone plates accordingly. The bone remodelling is modelled based on the Wolff's law, which states that bone adapts its shape and structure in response to mechanical stimuli. The AI algorithm learns from a dataset of bone remodelling patterns obtained from clinical studies and predicts the optimal bone plate design that promotes bone healing and reduces the risk of complications. The proposed approach takes into account various factors such as bone density, stress distribution, and implant-bone interface conditions to determine the optimal material distribution and shape of the bone plate over time. By considering the dynamic nature of bone remodelling, the proposed method aims to enhance the long-term stability and functionality of bone plates. To validate the effectiveness of the time-dependent topology optimization approach, we conducted numerical simulations and compared the results with existing static designs. The simulation results demonstrate that the proposed AIbased approach improves the performance of bone plates by adapting to the changing bone structure and load conditions during the healing process. The optimized bone plates show reduced stress concentrations, improved load transfer, and enhanced integration with the surrounding bone tissue. The proposed time-dependent topology optimization approach utilizing AI techniques offers a promising method for designing bone plates that consider bone remodelling. This approach has the potential to improve the clinical outcomes of orthopaedic surgeries by providing patient-specific, dynamically adapting bone plates that enhance bone healing and reduce complications.