Abstract
This research paper presents the development of AI-driven design and fabrication of customized prosthetic limbs using additive manufacturing and patient-specific optimization. This innovative approach leverages advanced technologies including artificial intelligence (AI), machine learning, and 3D printing to tailor prosthetic limbs that not only meet but exceed the biomechanical and aesthetic needs of individuals. The study details the integration of high-density polyethylene (HDPE) reinforced with micro and nano-hydroxyapatite (HA) to enhance the mechanical properties and biocompatibility of prosthetics.
The methodology encompasses a comprehensive data collection phase using high-resolution imaging to capture detailed anatomical data. This data is processed using AI algorithms to optimize prosthetic designs, which are then brought to life through state-of-the-art additive manufacturing techniques. The prosthetics undergo rigorous mechanical testing according to ASME standards, with results validated via Finite Element Modeling (FEM) to ensure durability and reliability under physiological loads.
Key findings demonstrate that the inclusion of nano-HA in HDPE significantly improves the tensile strength and modulus, essential for supporting biomechanical functions. User feedback from initial trials underscores the enhanced comfort and functionality of the AI-customized prosthetics, highlighting significant improvements over traditional designs. This research not only advances the technological frontier of prosthetic design but also significantly contributes to personalized healthcare, offering patients prosthetics that are highly functional, aesthetically pleasing, and uniquely tailored to enhance their quality of life.
