Розроблення моделі і методу індивідуалізованого підбору імплантів колінного суглоба

Abstract

The relevance of this research is driven by the increasing prevalence of knee joint pathologies and injuries requiring replacement or reconstruction of joint surfaces using implants. The success of such surgical interventions largely depends on the precise and individualized selection of implants. This paper proposes a multi-criteria optimization model and an individualized implant selection method utilizing advanced machine learning technologies. The developed approach significantly improves implant selection accuracy, reduces postoperative complication risks, and enhances overall treatment outcomes.