Biomechanical Model

Biomechanical models are computational representations of biological systems, primarily used to simulate movement and tissue behavior, with the main objective of improving understanding and prediction of biological processes. Current research emphasizes the integration of machine learning techniques, such as physics-informed neural networks and evolutionary algorithms, with biomechanical models to improve accuracy, efficiency, and personalization, particularly in applications like markerless motion capture and surgical planning. These advancements are significantly impacting fields like healthcare, enabling more precise diagnoses, personalized treatments, and the development of advanced robotic surgical systems.